Google Exam Professional-Cloud-Developer Topic 10 Question 76 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 76
Topic #: 10

[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 Kanisha at Feb 09, 2024, 05:04 PM

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Mariann

8 days ago

Storing the image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance makes sense to me. Gotta keep those latencies low!

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Myrtie

9 days ago

Oooh, using the cache-from argument for the Docker build step sounds promising. That could really speed things up.

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Catarina

10 days ago

Haha, yeah, that last option is a bit like using a sledgehammer to crack a nut. I'd go with either A or B, personally.

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Dominga

11 days ago

I agree, B seems like the best option here. Caching those Docker builds is gonna save us a ton of time. Plus, it's a pretty straightforward change to the build config.

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