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GCP Associate Cloud Engineer Practice Question

Your team packaged an HTTP microservice in a container image and stored it in Artifact Registry. Business requirements are:

  • The service must respond to HTTPS requests from the public internet.
  • It should automatically scale down to zero instances when idle to minimize cost.
  • During releases, you must be able to gradually direct a percentage of incoming traffic to a new version and instantly roll back if problems occur.
  • Operations teams do not want to manage any clusters or VM instances. Which deployment option best meets these requirements?

  • Launch a GKE Autopilot cluster, deploy the container as a Kubernetes Deployment, and use a rolling update strategy.

  • Deploy the service to App Engine flexible environment and use versioned traffic migration.

  • Create a second-generation Cloud Function with an HTTP trigger and route traffic through Cloud Load Balancing for blue/green deployments.

  • Deploy the image to Cloud Run (fully managed) and use built-in revision traffic splitting for gradual rollouts.

GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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