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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team must ingest JSON records from a third-party REST API every 10 minutes and store the results in Amazon S3 for downstream processing. The solution must be fully serverless, automatically retry transient API failures, provide centralized execution logs, and keep operational overhead to a minimum. Which approach best meets these requirements?

  • Configure an Amazon Kinesis Data Firehose delivery stream with an HTTP endpoint source to ingest data from the REST API and deliver it to S3.

  • Create an EventBridge rule that starts an AWS Step Functions workflow with a Lambda task that invokes the API and writes the response to S3; rely on the workflow's built-in retry policy for error handling.

  • Schedule an EventBridge rule to trigger a standalone Lambda function that calls the API and stores data in S3, implementing custom retry logic inside the function.

  • Use Amazon AppFlow to pull data from the REST API into S3 on a 10-minute schedule and enable error handling in the AppFlow console.

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