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GCP Professional Cloud Architect Practice Question

Your e-commerce team runs a stateless checkout service on Cloud Run deployed to us-central1 and europe-west1. You must release version 2 without customer downtime, observe error rates for a sample of real traffic, and instantly revert if problems appear-all while avoiding the cost of duplicating the entire stack in a separate environment. Which deployment strategy best meets these requirements?

  • Deploy version 2 as a separate Cloud Run service and switch the external HTTP(S) Load Balancer to it after final tests (blue-green).

  • Migrate the service to Google Kubernetes Engine and perform a rolling update with maxSurge 1 and maxUnavailable 0 to prevent downtime.

  • Use Cloud Run's traffic-splitting feature to implement a canary release, starting with a small percentage of traffic on the new revision and increasing it after monitoring.

  • Rely on Cloud Run automatic rollbacks and perform an in-place rolling update that immediately shifts 100 % of traffic to version 2.

GCP Professional Cloud Architect
Managing implementation
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