You are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below: Image You want to optimize deployment times and avoid unnecessary steps. What should you do?

QuestionsCategory: Google Professional Cloud DeveloperYou are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below: Image You want to optimize deployment times and avoid unnecessary steps. What should you do?
Admin Staff asked 7 months ago
You are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below:
Image
You want to optimize deployment times and avoid unnecessary steps. What should you do?

A. Remove the step that pushes the container to Artifact Registry.

B. Deploy a new Docker registry in a VPC, and use Cloud Build worker pools inside the VPC to run the build pipeline.

C. Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.

D. Add the --cache-from argument to the Docker build step in your build config file.








 

Correct Answer: D

This question is in Google Professional Cloud Developer Exam
For getting Google Professional Cloud Developer Certificate

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