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

7 months 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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Renay

5 months ago

User 4: Option B it is then, let's keep it simple.

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Floyd

6 months ago

User 3: Removing unnecessary steps is always a good idea.

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Sharika

6 months ago

User 2: Sounds good, that will help optimize deployment times.

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Fabiola

6 months ago

User 1: I agree, let's go with option B.

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Latrice

7 months 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

7 months 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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Lai

7 months ago

I'm not a fan of option D. Creating a new Docker registry and VPC just for this build pipeline seems like overkill to me.

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Hyman

6 months ago

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

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Alex

6 months ago

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

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Georgiann

6 months ago

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

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Daron

7 months ago

I disagree. I believe adding the ---cache-from argument to the Docker build step would be more efficient.

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Cassie

7 months ago

Option B sounds like a good way to optimize deployment times. Caching the Docker build steps can definitely speed things up.

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Jeannine

6 months ago

User 4: Storing image artifacts in a Cloud Storage bucket can also help with optimization.

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Judy

6 months ago

User 3: Removing unnecessary steps can really make a difference in the pipeline.

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Pamella

7 months ago

User 2: I agree. It's important to optimize deployment times.

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Marilynn

7 months ago

User 1: Option B sounds like a good idea. Caching can definitely speed things up.

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Winifred

7 months ago

I think we should remove the step that pushes the container to Artifact Registry.

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