Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An analytics team stores daily JSON files in an Amazon S3 data lake using the prefix structure s3://sales-data/year=YYYY/month=MM/day=DD/. From time to time, the files include additional columns. The team wants Amazon Athena queries to recognize both the new date partitions and any new columns automatically, with minimal operational overhead. Which approach satisfies these requirements?

  • Create the table manually in Athena, enable partition projection, and run MSCK REPAIR TABLE after each data load.

  • Run a nightly AWS Glue ETL job that issues ALTER TABLE ADD COLUMN statements and batchCreatePartition API calls.

  • Use AWS Database Migration Service to replicate the files to S3 and export metadata to the Data Catalog.

  • Schedule an AWS Glue crawler on the S3 prefix and enable it to update the table definition when schema changes are detected.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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