AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer needs to archive rows older than 2 years from an Amazon Redshift fact table to Amazon S3. The archived data must remain queryable in Amazon Athena while keeping S3 storage cost as low as possible and completing the export quickly. Which approach satisfies these requirements?

  • Run an UNLOAD statement that writes the selected rows to Amazon S3 in PARQUET format and partitions the files by date columns (for example, year and month).

  • Run an UNLOAD statement that writes the selected rows to Amazon S3 as comma-separated values (CSV) compressed with GZIP.

  • Use a COPY command with FORMAT AS PARQUET to move the selected rows from Redshift to an S3 bucket.

  • Create an external schema in Redshift Spectrum that points to the existing table without moving any data.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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