Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team receives daily application logs as tab-delimited .txt files in Amazon S3. About 50,000 small files totaling 200 GB uncompressed are added each day. Analysts use Amazon Athena to run ad-hoc queries that scan an entire month of logs, and costs are increasing. Without deploying new managed infrastructure or altering the source system, which action best reduces Athena scan cost and improves query performance?

  • Import the .txt files into Amazon RDS for PostgreSQL and point Athena federated queries at the database.

  • Use an AWS Glue ETL job to convert the .txt files to compressed Parquet, partition the data by day, and store the results in a separate S3 prefix.

  • Merge all .txt files into a single large GZIP file with Amazon S3 Batch Operations and query the compressed file directly with Athena.

  • Enable Athena query result reuse and instruct analysts to rerun saved queries instead of writing new ones.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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