AWS Certified Data Engineer Associate DEA-C01 Practice Question

Your company ingests about 2 TB of time-series sensor data into AWS every day. The data is append-only, must be retained for 3 years, and is accessed by data scientists through Amazon Athena for ad-hoc SQL that may scan an entire year of records. You need the most cost-effective storage configuration that still keeps query latency reasonable. Which solution meets these requirements?

  • Store Gzip-compressed CSV files in an Amazon S3 Standard-IA bucket and query them with Athena.

  • Stream the data into a time-series table in Amazon DynamoDB with a 3-year TTL and export to Athena when needed.

  • Write daily partitions of Parquet files to Amazon S3 with S3 Intelligent-Tiering enabled and query them with Athena.

  • Load the data each day into an Amazon Redshift RA3 cluster and run analytics there.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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