AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer must orchestrate an ETL pipeline that loads log files into Amazon Redshift. Whenever an object with the prefix "prod/logs/" is uploaded to an Amazon S3 bucket, the pipeline should start immediately. The solution must be fully serverless, offer built-in retry and dead-letter handling, and let the team add additional environment prefixes later without changing code. Which approach meets these requirements with the least operational effort?

  • Enable Amazon S3 EventBridge notifications; create an EventBridge rule that matches the prod/logs/ object-key prefix and invokes an AWS Step Functions state machine that runs the ETL workflow with an SQS dead-letter queue attached.

  • Create a CloudWatch Events schedule that runs every five minutes and calls a Lambda function to list the bucket for new objects and start the ETL job.

  • Configure an AWS Glue crawler trigger set to On-demand and launch it from a Lambda function that is invoked by S3 Event Notifications.

  • Set up S3 Event Notifications to invoke the ETL Lambda function directly; implement custom retry and environment filtering logic inside the function.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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