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GCP Professional Cloud Architect Practice Question

During a phased migration of several hundred microservices to Google Kubernetes Engine, roughly 15-20 percent of the Cloud Build jobs fail because of missing Maven dependencies or integration-test mismatches. The operations lead asks how an AI-assisted migration tool such as CogniPort can be used to shorten recovery time without replacing the existing CI/CD tooling. What should you recommend?

  • Invoke CogniPort during the kubectl apply command so it can rewrite Kubernetes manifests before they are deployed to the cluster.

  • Add a CogniPort post-build step in the existing Cloud Build pipeline so it analyzes compilation and test logs on every run and opens pull requests with suggested fixes.

  • Run CogniPort only once at the start of the migration to create an application inventory and then disable it to avoid runtime overhead.

  • Replace Cloud Build completely with CogniPort's native build service so that all compilation and tests run inside CogniPort.

GCP Professional Cloud Architect
Managing implementation
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