Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company stores 5 TB of click-stream data in Amazon S3 as CSV files (about 120 columns). Analysts query the data with Amazon Athena, typically selecting only 3-5 columns. Queries take several minutes, and the monthly Athena charge for data scanned is rising rapidly. As the data engineer, which change will most effectively reduce both query latency and Athena cost while letting analysts keep their existing SQL?

  • Enable server-side GZIP compression on the existing CSV files by using S3 Storage Lens.

  • Load the data into Amazon RDS for PostgreSQL and create column indexes on the frequently queried columns.

  • Compact the CSV files into larger files and enable S3 Transfer Acceleration for the bucket.

  • Convert the CSV files to Snappy-compressed Parquet and store them in the same S3 bucket.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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