diff --git a/google/cloud/aiplatform/jobs.py b/google/cloud/aiplatform/jobs.py
index 6023583918a..da2cabb9b0d 100644
--- a/google/cloud/aiplatform/jobs.py
+++ b/google/cloud/aiplatform/jobs.py
@@ -28,6 +28,7 @@
 
 from google.auth import credentials as auth_credentials
 from google.protobuf import duration_pb2  # type: ignore
+from google.protobuf import field_mask_pb2  # type: ignore
 from google.rpc import status_pb2
 
 from google.cloud import aiplatform
@@ -1952,7 +1953,9 @@ def __init__(
             location=location,
             credentials=credentials,
         )
-        self._gca_resource = self._get_gca_resource(resource_name=self.job_name)
+        self._gca_resource = self._get_gca_resource(
+            resource_name=model_deployment_monitoring_job_name
+        )
         self._endpoint_resource_name = ""
 
     @classmethod
@@ -1985,6 +1988,10 @@ def _parse_configs(
         all_configs = []
         all_models = []
         default_endpoint = "aiplatform.googleapis.com"
+        if aiplatform.initializer.global_config._location is None:
+            raise ValueError(
+                "Error parsing model monitoring objective configs: project location is not set"
+            )
         client_options = dict(
             api_endpoint=f"{aiplatform.initializer.global_config._location}-{default_endpoint}"
         )
@@ -2309,7 +2316,7 @@ def update(
     ) -> "ModelDeploymentMonitoringJob":
         """"""
         current_job = self.api_client.get_model_deployment_monitoring_job(
-            name=self.model_deployment_monitoring_job_name
+            name=self._gca_resource.name
         )
         update_mask: List[str] = []
         if display_name:
@@ -2339,27 +2346,40 @@ def update(
             update_mask.append("model_deployment_monitoring_objective_configs")
             current_job.model_deployment_monitoring_objective_configs = (
                 ModelDeploymentMonitoringJob._parse_configs(
-                    objective_configs, self._endpoint_resource_name
+                    objective_configs, current_job.endpoint, deployed_model_ids
                 )
             )
         self.api_client.update_model_deployment_monitoring_job(
-            model_deployment_monitoring_job=current_job, update_mask=update_mask
+            model_deployment_monitoring_job=current_job,
+            update_mask=field_mask_pb2.FieldMask(paths=update_mask),
         )
 
     def pause(self) -> "ModelDeploymentMonitoringJob":
         """"""
-        self.api_client.pause_model_deployment_monitoring_job(
-            self.model_deployment_monitoring_job_name
-        )
+        if self.state == gca_job_state.JobState.JOB_STATE_RUNNING:
+            self.api_client.pause_model_deployment_monitoring_job(
+                name=self._gca_resource.name
+            )
+        else:
+            raise RuntimeError(
+                "The monitoring job can only be paused under running / pending state, the current state is: %s"
+                % self.state
+            )
 
     def resume(self) -> "ModelDeploymentMonitoringJob":
         """"""
-        self.api_client.resume_model_deployment_monitoring_job(
-            self.model_deployment_monitoring_job_name
-        )
+        if self.state == gca_job_state.JobState.JOB_STATE_PAUSED:
+            self.api_client.resume_model_deployment_monitoring_job(
+                name=self._gca_resource.name
+            )
+        else:
+            raise RuntimeError(
+                "The monitoring job can only be resumed under paused state"
+            )
 
     def delete(self) -> "ModelDeploymentMonitoringJob":
         """"""
+        self.pause()
         self.api_client.delete_model_deployment_monitoring_job(
-            self.model_deployment_monitoring_job_name
+            name=self._gca_resource.name
         )