AWS Certified Data Engineer Associate DEA-C01 Practice Question

A retailer stores clickstream data as Parquet files in Amazon S3. Analysts query the data with Amazon Athena several times a day, and weekly batch jobs update or delete late-arriving records. The company uses AWS Lake Formation and must enforce row-level security while supporting ACID transactions with the least administration. Which approach meets these requirements?

  • Convert the dataset to a Lake Formation governed table and use LF tag-based policies to grant analysts SELECT access with row filters.

  • Create an external table in the AWS Glue Data Catalog and control access only with S3 bucket policies and Athena workgroup-level data filters.

  • Load the data into an Amazon Redshift cluster and share secure views through Lake Formation for row-level access.

  • Enable object-level ACLs on the S3 bucket and restrict rows by forcing analysts to use Athena views containing WHERE clauses.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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