AWS Certified Data Engineer Associate DEA-C01 Practice Question

An online brokerage maintains a 120-TB Amazon Redshift data warehouse on DS2 nodes. Most queries analyze the latest 6 months of data, but analysts occasionally run reports across the full 8-year history. Leadership wants to cut storage costs, keep all data online without unload or reload tasks, and retain sub-second performance on recent data. Which Amazon Redshift approach satisfies these requirements most cost-effectively?

  • Convert the fact tables to interleaved sort keys so that queries on recent partitions scan fewer blocks.

  • Migrate the cluster to RA3 nodes and rely on Amazon Redshift managed storage to automatically tier cold data to Amazon S3.

  • Enable concurrency scaling on the existing DS2 cluster to add transient compute capacity during peak reporting hours.

  • Keep the DS2 cluster but unload all data older than 6 months to Amazon S3 and query it through Redshift Spectrum.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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