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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An ETL application runs nightly in AWS Glue and occasionally triggers transient Amazon EMR clusters to pre-process raw data in Amazon S3. The security team must audit application logs for troubleshooting within 30 minutes of execution and retain them for 30 days. The solution should minimize operational overhead and cost while allowing SQL-like ad-hoc searches. Which approach best satisfies these requirements?

  • Stream AWS Glue and Amazon EMR job logs to Amazon CloudWatch Logs, enable CloudWatch Logs Insights for querying, and set each log group's retention policy to 30 days.

  • Store the job logs in an AWS CloudTrail Lake event data store with 30-day retention and query them using CloudTrail Lake query capabilities.

  • Deliver the logs to an Amazon S3 bucket through Amazon Kinesis Data Firehose, catalog them, and run ad-hoc queries with Amazon Athena; configure an S3 lifecycle rule to delete objects after 30 days.

  • Send the logs to an Amazon Redshift Serverless workgroup using Amazon Kinesis Data Streams and analyze them with Redshift Spectrum on demand.

AWS Certified Data Engineer Associate DEA-C01
Data Security and Governance
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