diff --git a/spark/src/main/scala/org/apache/spark/sql/delta/DomainMetadataUtils.scala b/spark/src/main/scala/org/apache/spark/sql/delta/DomainMetadataUtils.scala
index af633012234..94df58755fb 100644
--- a/spark/src/main/scala/org/apache/spark/sql/delta/DomainMetadataUtils.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/delta/DomainMetadataUtils.scala
@@ -17,6 +17,7 @@
 package org.apache.spark.sql.delta
 
 import org.apache.spark.sql.delta.actions.{Action, DomainMetadata, Protocol}
+import org.apache.spark.sql.delta.clustering.ClusteringMetadataDomain
 import org.apache.spark.sql.delta.metering.DeltaLogging
 
 object DomainMetadataUtils extends DeltaLogging {
@@ -27,6 +28,10 @@ object DomainMetadataUtils extends DeltaLogging {
   private val METADATA_DOMAIN_TO_COPY_FOR_RESTORE_TABLE =
     METADATA_DOMAINS_TO_REMOVE_FOR_REPLACE_TABLE
 
+  // List of metadata domains that will be copied from the table on a CLONE operation.
+  private val METADATA_DOMAIN_TO_COPY_FOR_CLONE_TABLE: Set[String] = Set(
+    ClusteringMetadataDomain.domainName)
+
   /**
    * Returns whether the protocol version supports the [[DomainMetadata]] action.
    */
@@ -96,4 +101,14 @@ object DomainMetadataUtils extends DeltaLogging {
       METADATA_DOMAIN_TO_COPY_FOR_RESTORE_TABLE.contains(m.domain)
     }
   }
+
+  /**
+   *  Generates sequence of DomainMetadata to commit for CLONE TABLE command.
+   */
+  def handleDomainMetadataForCloneTable(
+      sourceDomainMetadatas: Seq[DomainMetadata]): Seq[DomainMetadata] = {
+    sourceDomainMetadatas.filter { m =>
+      METADATA_DOMAIN_TO_COPY_FOR_CLONE_TABLE.contains(m.domain)
+    }
+  }
 }
diff --git a/spark/src/main/scala/org/apache/spark/sql/delta/commands/CloneTableBase.scala b/spark/src/main/scala/org/apache/spark/sql/delta/commands/CloneTableBase.scala
index 09c0e5a10d0..af4d66993cc 100644
--- a/spark/src/main/scala/org/apache/spark/sql/delta/commands/CloneTableBase.scala
+++ b/spark/src/main/scala/org/apache/spark/sql/delta/commands/CloneTableBase.scala
@@ -22,6 +22,7 @@ import java.util.UUID
 
 import scala.collection.JavaConverters._
 
+import org.apache.spark.sql.delta.skipping.clustering.ClusteredTableUtils
 import org.apache.spark.sql.delta._
 import org.apache.spark.sql.delta.actions._
 import org.apache.spark.sql.delta.metering.DeltaLogging
@@ -226,6 +227,13 @@ abstract class CloneTableBase(
           // CLONE does not preserve Row IDs and Commit Versions
           copiedFile.copy(baseRowId = None, defaultRowCommitVersion = None)
         }
+      sourceTable.snapshot.foreach { sourceSnapshot =>
+        // Handle DomainMetadata for cloning a table.
+        if (deltaOperation.name == DeltaOperations.OP_CLONE) {
+          actions ++=
+            DomainMetadataUtils.handleDomainMetadataForCloneTable(sourceSnapshot.domainMetadata)
+        }
+      }
       val sourceName = sourceTable.name
       // Override source table metadata with user-defined table properties
       val context = Map[String, String]()
diff --git a/spark/src/test/scala/org/apache/spark/sql/delta/skipping/ClusteredTableTestUtils.scala b/spark/src/test/scala/org/apache/spark/sql/delta/skipping/ClusteredTableTestUtils.scala
index e8feeafe5ba..18ebcba41fa 100644
--- a/spark/src/test/scala/org/apache/spark/sql/delta/skipping/ClusteredTableTestUtils.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/delta/skipping/ClusteredTableTestUtils.scala
@@ -141,6 +141,9 @@ trait ClusteredTableTestUtilsBase extends SparkFunSuite with SharedSparkSession
           doAssert(lastOperationParameters(CLUSTERING_PARAMETER_KEY) === "[]")
           doAssert(lastOperationParameters(ZORDER_PARAMETER_KEY) === "[]")
         }
+      case "CLONE" =>
+        // CLUSTER BY not in operation parameters for CLONE - similar to PARTITION BY.
+        doAssert(!lastOperationParameters.contains(CLUSTERING_PARAMETER_KEY))
       case o if clusterBySupportedOperations.contains(o) =>
         if (expectClustering) {
           assertClusterByExists()
diff --git a/spark/src/test/scala/org/apache/spark/sql/delta/skipping/clustering/ClusteredTableDDLSuite.scala b/spark/src/test/scala/org/apache/spark/sql/delta/skipping/clustering/ClusteredTableDDLSuite.scala
index fbbaf7578df..40b26c4ee87 100644
--- a/spark/src/test/scala/org/apache/spark/sql/delta/skipping/clustering/ClusteredTableDDLSuite.scala
+++ b/spark/src/test/scala/org/apache/spark/sql/delta/skipping/clustering/ClusteredTableDDLSuite.scala
@@ -26,6 +26,7 @@ import org.apache.spark.sql.delta.test.{DeltaColumnMappingSelectedTestMixin, Del
 
 import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
 import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.test.SharedSparkSession
 import org.apache.spark.sql.types.{ArrayType, IntegerType, StructField, StructType}
 
@@ -666,6 +667,58 @@ trait ClusteredTableDDLSuiteBase
       }
     }
   }
+
+  test("validate CLONE on clustered table") {
+    import testImplicits._
+    val srcTable = "SrcTbl"
+    val dstTable1 = "DestTbl1"
+    val dstTable2 = "DestTbl2"
+    val dstTable3 = "DestTbl3"
+
+    withTable(srcTable, dstTable1, dstTable2, dstTable3) {
+      // Create the source table.
+      sql(s"CREATE TABLE $srcTable (col1 INT, col2 INT, col3 INT) " +
+        s"USING delta CLUSTER BY (col1, col2)")
+      val tableIdent = new TableIdentifier(srcTable)
+      (1 to 100).map(i => (i, i + 1000, i + 100)).toDF("col1", "col2", "col3")
+        .repartitionByRange(100, col("col1"))
+        .write.format("delta").mode("append").saveAsTable(srcTable)
+
+      // Force clustering on the source table.
+      val (_, srcSnapshot) = DeltaLog.forTableWithSnapshot(spark, tableIdent)
+      val ingestionSize = srcSnapshot.allFiles.collect().map(_.size).sum
+      withSQLConf(
+        DeltaSQLConf.DELTA_OPTIMIZE_MAX_FILE_SIZE.key -> (ingestionSize / 4).toString) {
+        runOptimize(srcTable) { res =>
+          assert(res.numFilesAdded === 4)
+          assert(res.numFilesRemoved === 100)
+        }
+      }
+
+      // Create destination table as a clone of the source table.
+      sql(s"CREATE TABLE $dstTable1 SHALLOW CLONE $srcTable")
+
+      // Validate clustering columns and that clustering columns in stats schema.
+      val (_, dstSnapshot1) = DeltaLog.forTableWithSnapshot(spark, TableIdentifier(dstTable1))
+      verifyClusteringColumns(TableIdentifier(dstTable1), "col1,col2")
+      ClusteredTableUtils.validateClusteringColumnsInStatsSchema(dstSnapshot1, Seq("col1", "col2"))
+
+      // Change to CLUSTER BY NONE, then CLONE from earlier version to validate that the
+      // clustering column information is maintainted.
+      sql(s"ALTER TABLE $srcTable CLUSTER BY NONE")
+      sql(s"CREATE TABLE $dstTable2 SHALLOW CLONE $srcTable VERSION AS OF 2")
+      val (_, dstSnapshot2) = DeltaLog.forTableWithSnapshot(spark, TableIdentifier(dstTable2))
+      verifyClusteringColumns(TableIdentifier(dstTable2), "col1,col2")
+      ClusteredTableUtils.validateClusteringColumnsInStatsSchema(dstSnapshot2, Seq("col1", "col2"))
+
+      // Validate CLONE after CLUSTER BY NONE
+      sql(s"CREATE TABLE $dstTable3 SHALLOW CLONE $srcTable")
+      val (_, dstSnapshot3) = DeltaLog.forTableWithSnapshot(spark, TableIdentifier(dstTable3))
+      verifyClusteringColumns(TableIdentifier(dstTable3), "")
+      ClusteredTableUtils.validateClusteringColumnsInStatsSchema(dstSnapshot3, Seq.empty)
+
+    }
+  }
 }
 
 trait ClusteredTableDDLSuite extends ClusteredTableDDLSuiteBase