Crucial Exams

GCP Professional Data Engineer Practice Question

Your team schedules an hourly Cloud Composer DAG that triggers a Dataflow batch job to aggregate the previous hour's click-stream data and then archives the raw files. After an upcoming four-hour maintenance pause you must ensure that Composer does not automatically create four delayed DAG runs, yet any individual task in the next scheduled run must retry up to three times at 10-minute intervals if it fails. With minimal custom code, how should you configure the DAG?

  • Use schedule_interval='@hourly', keep catchup=True, and add depends_on_past=True with the same retry settings.

  • Leave catchup enabled, set execution_timeout=600 seconds, and disable retries to avoid duplicate processing.

  • Set schedule_interval='@hourly', configure catchup=False, and add retries: 3 and retry_delay: timedelta(minutes=10) in default_args.

  • Disable catchup but set max_active_runs=24, and require any failed run to be relaunched manually.

GCP Professional Data Engineer
Maintaining and automating data workloads
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