diff --git a/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsParquetSchemaPruningSuite.scala b/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsParquetSchemaPruningSuite.scala
index 689448fb7f0..32fa94a300a 100644
--- a/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsParquetSchemaPruningSuite.scala
+++ b/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsParquetSchemaPruningSuite.scala
@@ -19,9 +19,36 @@
 spark-rapids-shim-json-lines ***/
 package org.apache.spark.sql.rapids.suites
 
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
+import org.apache.spark.sql.execution.FileSourceScanExec
 import org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaPruningSuite
+import org.apache.spark.sql.rapids.GpuFileSourceScanExec
 import org.apache.spark.sql.rapids.utils.RapidsSQLTestsBaseTrait
 
 class RapidsParquetSchemaPruningSuite
   extends ParquetSchemaPruningSuite
-  with RapidsSQLTestsBaseTrait {}
+  with RapidsSQLTestsBaseTrait {
+
+  override protected def checkScanSchemata(df: DataFrame,
+                                           expectedSchemaCatalogStrings: String*): Unit = {
+    val fileSourceScanSchemata =
+      collect(df.queryExecution.executedPlan) {
+        case scan: FileSourceScanExec => scan.requiredSchema
+        case gpuScan: GpuFileSourceScanExec => gpuScan.requiredSchema
+      }
+    // Print the full execution plan
+    println("Full Execution Plan:")
+    println(df.queryExecution.executedPlan.treeString)
+    assert(fileSourceScanSchemata.size === expectedSchemaCatalogStrings.size,
+      s"Found ${fileSourceScanSchemata.size} file sources in dataframe, " +
+        s"but expected $expectedSchemaCatalogStrings")
+    fileSourceScanSchemata.zip(expectedSchemaCatalogStrings).foreach {
+      case (scanSchema, expectedScanSchemaCatalogString) =>
+        val expectedScanSchema = CatalystSqlParser.parseDataType(expectedScanSchemaCatalogString)
+        implicit val equality = schemaEquality
+        assert(scanSchema === expectedScanSchema)
+    }
+  }
+
+}
diff --git a/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala b/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala
index 8b76e350fef..98bf8f35fd7 100644
--- a/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala
+++ b/tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala
@@ -102,10 +102,10 @@ class RapidsTestSettings extends BackendTestSettings {
     .exclude("SPARK-31159: rebasing dates in write", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11404"))
     .exclude("SPARK-35427: datetime rebasing in the EXCEPTION mode", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11404"))
   enableSuite[RapidsParquetSchemaPruningSuite]
-    .excludeByPrefix("Spark vectorized reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
-    .excludeByPrefix("Non-vectorized reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
-    .excludeByPrefix("Case-insensitive parser", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
-    .excludeByPrefix("Case-sensitive parser", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
+    //.excludeByPrefix("Spark vectorized reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
+    //.excludeByPrefix("Non-vectorized reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
+    //.excludeByPrefix("Case-insensitive parser", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
+    //.excludeByPrefix("Case-sensitive parser", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11405"))
   enableSuite[RapidsParquetSchemaSuite]
     .exclude("schema mismatch failure error message for parquet reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11434"))
     .exclude("schema mismatch failure error message for parquet vectorized reader", KNOWN_ISSUE("https://github.com/NVIDIA/spark-rapids/issues/11446"))