Crucial Exams

GCP Professional Data Engineer Practice Question

Your organization runs a streaming Apache Beam pipeline on Cloud Dataflow. The job is launched from Cloud Composer with the parameters --zone=us-central1-a and processes Pub/Sub messages into a BigQuery table. Twice last quarter, Google maintenance in us-central1-a caused the worker pool to become unavailable and the pipeline stopped until it was manually restarted. You must redesign the deployment so that the job automatically survives a zonal outage, requires no code changes, and adds as little operational overhead as possible. What should you do?

  • Deploy an identical standby Dataflow job in us-central1-b and let Pub/Sub round-robin messages between the two jobs.

  • Start the pipeline specifying only --region=us-central1; omit any zone flags so Dataflow can distribute and, if needed, relocate workers across multiple zones in the region.

  • Port the pipeline to Dataproc and create a regional cluster with three master nodes spread across zones, then schedule the Spark Streaming job there.

  • Move the target BigQuery table to a multi-regional location so queries remain available even if a zone fails.

GCP Professional Data Engineer
Maintaining and automating data workloads
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