Google Exam Professional Cloud Developer Topic 14 Question 98 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 98
Topic #: 14

[All Professional Cloud Developer Questions]

You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:

You want to optimize deployment times and avoid unnecessary steps What should you do?

ARemove the step that pushes the container to Artifact Registry.

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

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

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

Show Suggested Answer

Suggested Answer: B

https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image

by Sherrell at Nov 13, 2024, 12:00 AM

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Augustine

6 days ago

Haha, I bet the person who came up with option D was just trying to make the question more complex. Let's keep it simple and go with option B!

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Latrice

12 days ago

Option C is an interesting idea, but I'm not sure if storing the image artifacts in a Cloud Storage bucket will make a significant difference in deployment times.

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Louis

14 days ago

I agree with Daron. Storing image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance could also help optimize deployment times.

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