Crucial Exams

GCP Professional Data Engineer Practice Question

Your company ingests IoT events into a Pub/Sub topic, processes them with a streaming Dataflow job running in us-central1, and writes results to a BigQuery dataset in the same region. New disaster-recovery objectives require an RTO of 30 minutes if us-central1 is lost, an RPO of 5 minutes, and minimal ongoing operational effort. Which design change best meets these goals?

  • Export processed data from BigQuery to Cloud Storage every 5 minutes and replicate the bucket to us-east1 with Cloud Storage Transfer Service, then load the files into BigQuery on failover.

  • Create BigQuery table snapshots every 5 minutes and replicate them to Cloud SQL in us-east1 using Database Migration Service; reconfigure dashboards to query Cloud SQL if us-central1 fails.

  • Convert the BigQuery dataset to the US multi-region location, retain Pub/Sub for durable message backlog, and deploy the streaming pipeline as a Dataflow Flex Template so it can be quickly launched in another region when a regional outage is detected.

  • Schedule BigQuery copy jobs every 5 minutes to replicate tables to a dataset in us-east1 and manually switch dashboards to the replica during an outage.

GCP Professional Data Engineer
Designing data processing systems
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