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GCP Professional Cloud Architect Practice Question

Your SRE team must operate a fleet of Google Kubernetes Engine clusters on three continents. Leadership mandates that all infrastructure and cluster-level configuration changes be executed automatically from version-controlled code, with peer-reviewed pull requests as the only manual gate. The solution must minimize configuration drift and provide a complete audit trail. Which approach best meets these goals while aligning with Google Cloud's operational excellence recommendations?

  • Store Terraform modules in Cloud Source Repositories; trigger Cloud Build on every merged commit to run terraform apply for each environment, and use Anthos Config Sync to enforce cluster manifests from the same repository.

  • Provision clusters interactively with gcloud container clusters create and record the commands in an internal wiki; rely on Kubernetes auto-repair for any drift.

  • Create Deployment Manager templates and instruct engineers to run gcloud deployment-manager deployments update in each region after a Slack approval message.

  • Maintain shell scripts on a bastion host that execute kubectl apply against every cluster; a nightly cron job pulls the latest YAML files from GitHub.

GCP Professional Cloud Architect
Ensuring solution and operations excellence
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