GCP Professional Data Engineer Practice Question

A financial-services startup is migrating its globally distributed ledger system to Google Cloud. Key requirements are:

  • Up to 15 000 strongly consistent transactions per second across three continents.
  • Single-row and multi-row transactions must be fully ACID.
  • The service must continue operating through a full regional outage with an application RTO under one minute and an RPO of zero.
  • Operations teams want Google to handle patching, replication, and automatic scaling.

Which Google Cloud database deployment best satisfies these reliability and consistency requirements while minimizing operational overhead?

  • Deploy Cloud Spanner in a multi-region configuration (for example, nam3) to store the ledger.

  • Use Cloud SQL for PostgreSQL with high availability enabled and cross-region read replicas.

  • Migrate the data to Firestore in Datastore mode hosted in a multi-region location.

  • Store the ledger in Cloud Bigtable with multi-cluster routing across the required continents.

GCP Professional Data Engineer
Designing data processing systems
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