Crucial Exams

GCP Professional Cloud Architect Practice Question

Your organization is migrating an on-premises monolith to microservices on Google Kubernetes Engine (GKE). Quality assurance currently uses a single, long-lived staging cluster that frequently drifts from production, leading to late defect discovery. Leadership wants to accelerate release cadence, reduce staging costs, and ensure every change is validated against production-like infrastructure. Which change to the SDLC best accomplishes these goals while taking advantage of Google Cloud capabilities?

  • Keep a shared staging GKE cluster but schedule weekly rolling updates and rely on Cloud Monitoring alerts to catch configuration drift.

  • Use Cloud Build triggers to spin up an isolated GKE namespace for each pull request, deploy the candidate microservices, run automated tests, and delete the namespace when tests finish.

  • Move the staging environment to preemptible Compute Engine VMs, run nightly batch integration tests, and promote images after manual approval.

  • Eliminate the staging environment and have QA attach Cloud Debugger sessions directly to production pods to validate fixes in real time.

GCP Professional Cloud Architect
Analyzing and optimizing technical and business processes
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