AWS Certified Data Engineer Associate DEA-C01 Practice Question

A retail company stores clickstream records in Amazon S3 using the prefix structure s3://bucket/events/year=YYYY/month=MM/day=DD/hour=HH/. An AWS Glue Data Catalog table exposes the data to Amazon Athena. Hundreds of new hour-level partitions arrive each day, and analysts must query the most recent data within minutes while keeping maintenance cost low. Which solution best meets these requirements?

  • Enable partition projection on the Glue Data Catalog table and define templates for year, month, day, and hour.

  • Configure Amazon S3 event notifications to trigger an AWS Lambda function that calls BatchCreatePartition for every new object.

  • Instruct analysts to execute MSCK REPAIR TABLE before each Athena query to refresh partition metadata.

  • Schedule an AWS Glue crawler to run every 5 minutes to discover and add new partitions.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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