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GCP Associate Cloud Engineer Practice Question

Your company plans to migrate 15 containerized microservices that currently run on an on-premises Kubernetes cluster. Each service uses Kubernetes CronJobs, exposes both HTTP and gRPC ports from the same Pod, and relies on an Istio sidecar for service mesh capabilities. You want to keep using Kubernetes APIs while minimizing the need to administer nodes and still allow the services to autoscale across multiple zones. Which Google Cloud compute service best meets these requirements?

  • Create custom VM images for each service and run them in an autoscaled Managed Instance Group.

  • Deploy the microservices on a Google Kubernetes Engine Autopilot cluster.

  • Re-implement the workloads as individual Cloud Functions triggered by Pub/Sub or HTTP.

  • Package each container as a Cloud Run service with Cloud Scheduler jobs for scheduled executions.

GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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