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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company has an Amazon Redshift cluster in us-east-1 and uses Redshift Spectrum to query external tables in an S3 data lake in the same Region. A new partitioned Parquet dataset arrives daily in an S3 bucket in eu-west-1, and analysts must join this data with existing Redshift tables. To meet this requirement, keep the data in S3, and minimize storage cost, which approach should the data engineer take?

  • Add a VPC endpoint for eu-west-1 S3 to the us-east-1 VPC so Redshift Spectrum can read the remote bucket without moving the data.

  • Create a new external schema that references the eu-west-1 bucket and include REGION 'eu-west-1' in the LOCATION clause of each external table.

  • Enable S3 cross-region replication to copy the Parquet files to a bucket in us-east-1, then point the external table definition at the replicated data.

  • Use Amazon Redshift federated queries to read the Parquet files directly from the eu-west-1 bucket and join them with local tables.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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