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GCP Professional Data Engineer Practice Question

Your company's e-commerce platform runs on an 8-node on-premises MySQL 5.7 cluster that holds 4 TB of order data and grows about 20 percent per year. The application relies on row-level locking and multi-row, ACID transactions. You will migrate the database to Google Cloud and must meet these constraints:

  • Fewer than 1,000 transactions per second with sub-second latency.
  • Recovery point objective (RPO) under five minutes in the event of a regional failure.
  • No significant application refactoring.
  • Minimal operational overhead from your small SRE team.

Which managed storage service and deployment pattern best satisfies the requirements?

  • Deploy Cloud SQL for MySQL with a regional (multi-zone) primary instance and configure a cross-region read replica for disaster recovery.

  • Use Cloud Bigtable with multi-cluster routing across two regions to achieve low-latency reads and automatic failover.

  • Migrate to Cloud Spanner and deploy a multi-region instance to obtain synchronous cross-regional replication.

  • Move the data to Firestore in Datastore mode and enable multi-region replication for high availability.

GCP Professional Data Engineer
Storing the data
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