GCP Professional Cloud Architect Practice Question
A multinational retailer has migrated most workloads to Google Cloud but still relies on dozens of wiki-based runbooks that engineers execute manually through the Cloud Console. Leadership wants to establish a culture of automation in line with the Operational Excellence pillar of the Google Cloud Well-Architected Framework. Which practice will most effectively embed this culture across all product teams while reducing operational toil over time?
Rotate on-call engineers weekly and instruct them to follow the existing wiki runbooks manually in the Cloud Console so they fully understand each step before writing any code.
Assign all production privileges to a central SRE team that executes console commands interactively during incidents and publishes screencasts of the sessions for training purposes.
Add a policy that every ticket resolved manually must include a post-incident report; backlog items are prioritized based on ticket volume at the end of each quarter.
Require all runbooks to be rewritten as executable Terraform or Python scripts stored in a shared repository, with peer review and automated tests enforced by Cloud Build before deployment.
Treating every operational procedure as version-controlled code and forcing changes through a CI/CD workflow institutionalizes the "operations as code" principle recommended by the Operational Excellence pillar. Peer reviews and automated tests drive knowledge sharing and reliability, while policy checks prevent drift caused by ad-hoc console actions. Merely rotating staff or centralizing privileged access leaves manual steps in place, and post-mortems alone do not guarantee that toil is eliminated or that automation becomes the default.
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What is the Operational Excellence pillar in the Google Cloud Well-Architected Framework?
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What is Terraform and why is it useful in Google Cloud automation?
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GCP Professional Cloud Architect
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