AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company's Amazon Redshift RA3 cluster hosts a 5-TB fact table that receives new rows each night. Business analysts issue the same complex aggregation query every morning to populate dashboards, but the query still takes about 40 minutes even after regular VACUUM and ANALYZE operations. As the data engineer, you must cut the runtime dramatically, keep administration effort low, and avoid a large cost increase. Which approach will best meet these requirements?

  • Enable Amazon Redshift Concurrency Scaling so the query can execute on additional transient clusters.

  • Increase the WLM queue's slot count and enable short query acceleration to allocate more memory to the query.

  • Create a materialized view that pre-aggregates the required data, schedule an automatic REFRESH after the nightly load, and direct the dashboard to query the materialized view.

  • Change the fact table's distribution style to ALL so every node stores a full copy, eliminating data shuffling during joins.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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