AWS Certified Data Engineer Associate DEA-C01 Practice Question
A retail company ingests point-of-sale files into Amazon S3 around the clock. A nightly aggregation AWS Glue job must start at 01:00 UTC with arguments that specify the processing date. The team wants a fully managed solution that invokes the Glue StartJobRun API on a schedule, automatically retries transient failures, and requires the least operational overhead or custom code. Which approach meets these requirements?
Define an EventBridge rule with a cron expression that triggers an AWS Lambda function; the function calls the Glue StartJobRun API.
Create an Amazon EventBridge Scheduler schedule with a cron expression that directly invokes glue:StartJobRun and configures a retry policy.
Build an AWS Step Functions state machine to start the Glue job and trigger it daily with an EventBridge rule.
Deploy an Amazon Managed Workflows for Apache Airflow environment and create a daily DAG that starts the Glue job.
Amazon EventBridge Scheduler can invoke supported AWS APIs directly on a cron-based schedule, including glue:StartJobRun. The service lets you configure a built-in retry policy, so transient errors are handled without additional infrastructure. Because the scheduler is serverless and stateful, no Lambda function, Step Functions state machine, or MWAA environment needs to be deployed or maintained.
A CloudWatch Events (EventBridge rule) that triggers Lambda introduces custom code and an extra service to manage. An MWAA environment provides rich orchestration but adds significant operational overhead. A Step Functions state machine plus EventBridge rule also adds an additional service layer and maintenance effort. Therefore, an EventBridge Scheduler schedule is the most operationally efficient solution.
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AWS Certified Data Engineer Associate DEA-C01
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