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GCP Professional Cloud Architect Practice Question

Your team operates an e-commerce platform on Google Kubernetes Engine. After a canary deployment promoted through Cloud Deploy rolled out to 10 % of pods, SREs observe that checkout requests intermittently exceed 4 seconds, while other services appear healthy and no exceptions reach the application logs. You must perform a structured root-cause analysis that pinpoints which call path changed with the new build and why it is slower. Which action will most effectively leverage Google Cloud's native tooling to accelerate the investigation?

  • Run a synthetic load-test job from Cloud Build against both the old and new container images and compare aggregate latency metrics.

  • Attach Cloud Debugger conditional breakpoints to the checkout pods and inspect variable values whenever response time exceeds 4 seconds.

  • Capture distributed traces with Cloud Trace, then filter Cloud Logging entries by the trace IDs to analyze slow spans and identify the service introducing latency.

  • Enable VPC Flow Logs on the cluster subnet and analyze round-trip times to detect packet loss between microservices.

GCP Professional Cloud Architect
Analyzing and optimizing technical and business processes
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