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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company stores compressed CSV files at s3://datalake/transactions/year=YYYY/month=MM/day=DD/. Analysts run ad-hoc SQL with Amazon Athena. The engineering team must (1) keep partitions current as new daily folders land, (2) attach business metadata such as data owner and sensitivity, and (3) let governance users search by that metadata. Which approach delivers these capabilities with the least operational effort?

  • Schedule an AWS Glue crawler for the S3 prefix and store business metadata as Data Catalog tags or table properties in the AWS Glue Data Catalog.

  • Create a Lake Formation Blueprint to catalog the data and save business metadata as user-defined object metadata on the S3 files.

  • Use a daily Lambda function to run MSCK REPAIR TABLE on an Athena external table and keep business metadata in AWS Secrets Manager.

  • Ingest the data into Amazon Redshift, create an external schema with Redshift Spectrum, and place business metadata in Redshift COMMENT statements.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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