Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

Your company stores clickstream and purchase data as partitioned Parquet files in separate Amazon S3 buckets. Analysts run dozens of ad-hoc Athena queries that join these datasets to report on daily revenue by campaign. You must reduce query costs and simplify the SQL for analysts, while using only the Athena service. Which approach meets these requirements?

  • Create an Athena materialized view that performs the join and daily aggregation, and schedule a daily REFRESH MATERIALIZED VIEW command.

  • Schedule a daily CREATE TABLE AS SELECT (CTAS) query to create a new table with the joined and aggregated data, stored in a partitioned, columnar format.

  • Create a standard Athena view over the two tables so analysts only need to query the view.

  • Run a nightly CTAS query that writes the joined results as a single unpartitioned CSV file, then have analysts query that file.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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