You migrated ORC files to a Cloud Storage bucket and want to use Hive on a Dataproc cluster, optionally replicating data into HDFS for performance. Which two methods let you start using Hive on Dataproc? (Choose two.)

The first correct method involves manually transferring the ORC files from Cloud Storage to the Dataproc cluster's HDFS. You would use gsutil to copy files to a master node, then hadoop fs -put to move them into HDFS. Once in HDFS, you can create Hive tables that point to these HDFS locations. This directly addresses the "replicate data into HDFS" requirement. The second correct method leverages the Cloud Storage connector for Hadoop, which is built into Dataproc. This allows Hive to directly read ORC files stored in Cloud Storage as external tables without needing to copy them into HDFS first. If replication to HDFS is desired for performance, you can then create native Hive tables from these external tables, effectively copying the data into HDFS. The incorrect options either suggest transferring files directly into HDFS using gsutil (which isn't how gsutil interacts with HDFS), copying to an arbitrary node (which doesn't guarantee HDFS integration), or using BigQuery, which is not directly related to using ORC files with Hive on Dataproc.