diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 43dff108d9a29..b8ea7b12cf2b3 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -534,7 +534,7 @@ def test_createDataFrame_arrow_pandas(self):
 
     def test_createDataFrame_verifySchema(self):
         data = {"id": [1, 2, 3], "value": [100000000000, 200000000000, 300000000000]}
-        table = pa.table(data)
+        # data.value should fail schema validation when verifySchema is True
         schema = StructType(
             [StructField("id", IntegerType(), True), StructField("value", IntegerType(), True)]
         )
@@ -543,13 +543,29 @@ def test_createDataFrame_verifySchema(self):
             Row(id=2, value=-1863462912),
             Row(id=3, value=-647710720),
         ]
-
+        # Arrow table
+        table = pa.table(data)
         df = self.spark.createDataFrame(table, schema=schema)
         self.assertEqual(df.collect(), expected)
 
         with self.assertRaises(Exception):
             self.spark.createDataFrame(table, schema=schema, verifySchema=True)
 
+        # pandas DataFrame with Arrow optimization
+        pdf = pd.DataFrame(data)
+        df = self.spark.createDataFrame(pdf, schema=schema)  # verifySchema defaults to False
+        self.assertEqual(df.collect(), expected)
+        with self.assertRaises(Exception):
+            df = self.spark.createDataFrame(pdf, schema=schema, verifySchema=True)
+
+        # pandas DataFrame without Arrow optimization
+        with self.sql_conf({"spark.sql.execution.arrow.pyspark.enabled": False}):
+            pdf = pd.DataFrame(data)
+            with self.assertRaises(Exception):
+                df = self.spark.createDataFrame(pdf, schema=schema)  # verifySchema defaults to True
+            df = self.spark.createDataFrame(pdf, schema=schema, verifySchema=False)
+            self.assertEqual(df.collect(), expected)
+
     def _createDataFrame_toggle(self, data, schema=None):
         with self.sql_conf({"spark.sql.execution.arrow.pyspark.enabled": False}):
             df_no_arrow = self.spark.createDataFrame(data, schema=schema)