Exam Professional Cloud Developer topic 1 question 326 discussion

Actual exam question from Google's Professional Cloud Developer

Question #: 326
Topic #: 1

[All Professional Cloud Developer Questions]

You have developed a Python application that you want to containerize and deploy to Cloud Run. You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?

A. The final step uses a Cloud Run instance name that does not match the container name. Update the deployment step so that the Cloud Run instance name matches the container name, and rerun the pipeline.
B. The Docker container image has not been pushed to Artifact Registry. Add a step to the pipeline to push the application container image to Artifact Registry, and rerun the pipeline.
C. Cloud Run does not allow unauthenticated invocations. Remove the --allow-unauthenticated parameter to enforce authentication on the application, and rerun the pipeline.
D. Unit tests in the pipeline are failing. Update the application code so that all unit tests pass, and rerun the pipeline.

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Suggested Answer: B 🗳️

by Laureatul at May 6, 2025, 12:19 p.m.

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Laureatul

1 month, 2 weeks ago

Selected Answer: B

If the push to Artifact Registry is missing, then Cloud Run won’t be able to find the image, resulting in a deployment failure, as seen in your pipeline logs.

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