GCP Associate Cloud Engineer Practice Question

A media company stores photos in a Cloud Storage bucket. When an object is finalized, a containerized Go program must transform the image and write the result to another bucket. Each job can take up to 10 minutes. The team needs a fully managed, pay-per-use platform that

requires no VM or cluster administration,
scales to zero when idle, and
does not expose any public HTTP endpoint. Which solution satisfies these requirements with the least operational overhead?

Deploy a Cloud Functions (2nd gen) function triggered directly by Cloud Storage finalize events and rewrite the program to the Functions runtime.
Create a GKE Autopilot cluster, run the container as a Deployment, and configure the bucket to publish finalize events to a Pub/Sub topic consumed by the Deployment.
Build a Cloud Run service from the container image and create an Eventarc trigger for google.cloud.storage.object.v1.finalized events from the bucket. Grant Eventarc's service account the Run Invoker role on the service.
Schedule a Compute Engine VM using Pub/Sub push notifications from Cloud Storage to start the VM, run the program with a startup script, and shut it down after completion.

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Answer Description

Cloud Run lets you deploy your own container image, so the existing Go program can run unchanged. Create an Eventarc trigger for Cloud Storage finalize events; Eventarc invokes the service using IAM-authenticated requests, so the service need not be publicly accessible. Cloud Run supports request timeouts up to 60 minutes, easily covering the 10-minute processing time.

Cloud Functions (2nd gen) can run for up to 60 minutes but does not accept arbitrary pre-built container images, so you would need to refactor the code to a supported runtime. GKE Autopilot and Compute Engine both involve cluster or VM management, violating the no-administration requirement. Therefore, Cloud Run with Eventarc offers the lowest operational overhead.

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