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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Kiley

4 months ago

Storing image artifacts in a Cloud Storage bucket could also be a good option, though.

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Cyril

5 months ago

Yes, adding the ---cache-from argument makes sense.

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Kristian

5 months ago

I believe option B) is the way to go for optimizing deployment.

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Kiley

5 months ago

I agree. Removing unnecessary steps will help.

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Cyril

5 months ago

I think we should optimize deployment times.

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Mariann

6 months 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

6 months 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

6 months 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

6 months 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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Margo

5 months ago

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

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Mattie

5 months ago

Agreed, caching will definitely help us avoid unnecessary steps and speed up the deployment.

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Jutta

5 months ago

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

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Janessa

6 months ago

I don't think that's necessary. Caching the Docker builds seems like a better optimization.

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Rickie

6 months ago

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

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Tammi

6 months ago

I think that's a great idea. It will definitely speed up the deployment process.

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Virgina

6 months ago

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

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