AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company stores 100 TB of Parquet files in Amazon S3. Multiple analytics teams need millisecond-latency access with Amazon Athena and Amazon Redshift Spectrum. Security requires row-level and column-level restrictions without adding new data copies. Which approach meets requirements with the lowest operational overhead and no additional storage cost?

  • Register the S3 locations in AWS Lake Formation and grant row- and column-level Lake Formation permissions that are respected by Athena and Redshift Spectrum.

  • Use S3 Object Lambda to dynamically remove unauthorized rows and columns when Athena or Redshift Spectrum access the objects.

  • Load the data into an Amazon Redshift RA3 cluster and use column-level security plus materialized views to filter rows for each team.

  • Copy each dataset into separate S3 prefixes per team and restrict Amazon Athena workgroups to those prefixes with bucket policies.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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