GCP Professional Cloud Architect Practice Question

Your company is refactoring a Python microservice that currently runs in a Docker container on-prem. It exposes a REST endpoint, may need up to 1 000 concurrent requests, and must scale to zero when idle. The team wants to reuse the existing Dockerfile, minimise operational overhead, and allow other internal services to invoke it over HTTPS. Which Google Cloud service best meets these requirements?

Create a GKE Autopilot cluster and run the container with an HPA configured on CPU.
Package the container image and deploy it to Cloud Run fully managed.
Deploy the microservice to Cloud Functions (2nd gen) and invoke it as an HTTP function.
Rewrite the service to run in the App Engine Standard environment.

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Answer Description

Cloud Run fully managed accepts any OCI-compliant container built from the existing Dockerfile, automatically provisions and scales the underlying infrastructure from zero to thousands of instances based on request traffic, and exposes the service through an HTTPS URL. Cloud Functions would require rewriting the code into a function entry point and does not let you deploy an arbitrary container image directly. App Engine Standard supports only specific language runtimes rather than custom containers, and its per-instance concurrency is much lower. GKE Autopilot automates control-plane and node operations but still involves Kubernetes configuration overhead and does not natively scale pods to zero.

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