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GCP Professional Cloud Architect Practice Question

A fintech company keeps its microservice source code in Cloud Source Repositories. Every merge to the main branch must automatically build container images, run unit tests, perform vulnerability scans, and then promote the same signed image through three environments: a GKE dev cluster, a Cloud Run UAT service (after manual approval), and a GKE production cluster with automatic rollback on failure. Operations wants a fully managed solution that requires the least custom scripting while providing release tracking and auditability. Which design best satisfies these requirements?

  • Use a Cloud Build trigger to build, test, scan, and sign the image, store it in Artifact Registry, and then call Cloud Deploy to promote the signed image through a delivery pipeline that targets dev GKE, UAT Cloud Run (with an approval gate), and production GKE with automatic rollback enabled.

  • Have Cloud Build build and push images to Container Registry, then rely on a self-managed Spinnaker deployment running on GKE to promote releases to GKE and Cloud Run targets.

  • Configure a single Cloud Build trigger that builds, tests, scans, and sequentially deploys the image to each environment using kubectl and gcloud run deploy steps, referencing the latest tag in Artifact Registry.

  • Replace Cloud Build with a Jenkins server on Compute Engine to run builds and scripts that deploy directly to GKE and Cloud Run, while storing images in Artifact Registry.

GCP Professional Cloud Architect
Analyzing and optimizing technical and business processes
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