Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company uses an AWS Step Functions workflow that starts an AWS Glue crawler, runs a Glue ETL job, and finally submits an Amazon Athena query. The data engineering team must audit who invoked every API call in the pipeline, retain evidence for at least 400 days, and troubleshoot performance by running ad-hoc SQL queries on the log data. Which solution meets these needs with the least operational overhead?

  • Publish every Step Functions state transition to Amazon EventBridge, send the events to an Amazon SQS queue, invoke an AWS Lambda function to write the events to Amazon DynamoDB, and analyze the data with PartiQL queries.

  • Create a multi-Region trail in AWS CloudTrail that logs management events for all AWS accounts, store the logs in an encrypted Amazon S3 bucket with a 400-day Lifecycle retention rule, and use an Athena table over the CloudTrail logs to query the data.

  • Configure each Step Functions state, Glue job, and Athena workgroup to stream logs to separate Amazon CloudWatch Logs log groups with a 400-day retention period, then use CloudWatch Logs Insights for ad-hoc analysis.

  • Enable Amazon Macie on the account's S3 buckets to discover sensitive data in pipeline logs and use the Macie console to review all API activity for auditing and troubleshooting.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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