GCP Professional Cloud Architect Practice Question

Your e-commerce company runs its order-processing microservices on multi-regional GKE clusters. Leadership wants proof that the platform can keep the percentage of successful checkouts above the agreed SLO of 99.9 % even if a critical dependency such as the payment service becomes unreachable for several minutes. Which approach best follows chaos engineering principles to achieve this goal?

  • Release a new version of the checkout service to 5 % of users as a canary and observe metrics for 24 hours before full rollout.

  • Run periodic stress tests that drive CPU on the staging cluster to saturation, then scale node pools before peak seasons.

  • Define "checkout success rate" as the steady-state metric, use a chaos tool to intermittently isolate the payment service in the production clusters, monitor the SLO during the experiment, and remediate any discovered weaknesses.

  • Perform monthly regional failover exercises by shifting all traffic to the standby region and validating data replication.

GCP Professional Cloud Architect
Ensuring solution and operations excellence
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