AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer stores application logs in Amazon S3 using the prefix pattern s3://company-logs/year=YYYY/month=MM/day=DD/. An AWS Glue Data Catalog table is used by analysts to query the data with Amazon Athena. New log files arrive every hour, and the analysts must be able to query them within five minutes with minimal operational cost and without manual partition updates. Which solution meets these requirements most cost-effectively?

  • Configure the Athena table to use partition projection with date-based ranges so that new partitions are inferred at query time without crawling.

  • Use Amazon S3 event notifications to invoke an AWS Lambda function that calls the AWS Glue BatchCreatePartition API whenever a new day folder is created.

  • Enable AWS Glue partition indexes and run the existing crawler once per day; Athena will detect new partitions automatically through the index.

  • Schedule an AWS Glue crawler with an S3 data store to run every five minutes so that new partitions are discovered quickly.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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