AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company uses the COPY command to load raw IoT JSON files from Amazon S3 into an Amazon Redshift table. New firmware versions frequently add optional attributes. Analysts must query new attributes immediately without running ALTER TABLE for each change. Which Redshift schema-evolution technique meets this requirement while keeping existing queries unchanged?

  • Run an AWS Glue crawler after each firmware release to detect new attributes and automatically add columns to the Redshift table.

  • Use the COPY command with an AUTOEVOLVE parameter to create any missing columns during each load.

  • Load the JSON into a column defined as SUPER and use PartiQL to query any new keys without altering the table.

  • Convert the JSON files to Parquet, create a new Redshift table with the updated schema each month, and UNION ALL the results in a view.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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