GCP Professional Cloud Architect Practice Question

You are the lead architect for a global e-commerce company that relies on a regional Google Kubernetes Engine (GKE) cluster spread across three zones. To increase confidence in the platform's resilience, you need to run a production chaos-engineering experiment that answers the following question: Can the order-service continue to meet its availability SLO if one zone suffers a complete network isolation event? Business leadership insists customer impact must be minimal during the test. Which approach best satisfies these requirements?

  • Cordon and drain every node in one zone of the regional cluster during peak hours, relying on PodDisruptionBudgets to limit outages.

  • Spin up a separate staging cluster that mirrors production, shut down an entire zone there, and validate that synthetic checks still pass.

  • Create a 5 % canary release of the order-service, use a namespace-level NetworkPolicy (or Chaos Mesh NetworkChaos) to block egress from canary pods in one zone, monitor production SLOs, and roll back automatically if thresholds are breached.

  • Use gcloud commands to randomly kill 30 % of order-service pods across all zones in production, then observe error rates in Cloud Monitoring.

GCP Professional Cloud Architect
Analyzing and optimizing technical and business processes
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