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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer is writing a Python script that Jenkins will call after each hourly ingest. The script must start the AWS Glue job named csv_to_parquet, pass the S3 object path as a parameter, then block until the job finishes or fails so that Jenkins can act on the result. The engineer wants to minimise the number of AWS API calls and avoid writing custom polling logic. Which approach meets these requirements when using the AWS SDK for Python (boto3)?

  • Instantiate boto3.resource("glue").Job("csv_to_parquet").run(path=object_path); the run method blocks until the job finishes.

  • Call glue.start_job_run with the path argument, then repeatedly call glue.get_job_run every 5 seconds until the JobRunState is SUCCEEDED or FAILED.

  • Call glue.start_job_run, capture the JobRunId, then invoke glue.get_waiter("job_run_succeeded").wait(JobName="csv_to_parquet", RunId=job_id).

  • Call glue.start_job_run, capture the JobRunId, and poll the corresponding CloudWatch Logs stream until log events stop.

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