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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?

Show Suggested Answer Hide 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
3 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
2 months ago
User 4: Option B it is then, let's keep it simple.
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Floyd
2 months ago
User 3: Removing unnecessary steps is always a good idea.
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Sharika
2 months ago
User 2: Sounds good, that will help optimize deployment times.
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Fabiola
3 months ago
User 1: I agree, let's go with option B.
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Latrice
3 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
3 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
3 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
2 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
2 months ago
B) Add the --cache-from argument to the Docker build step in your build config file.
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Georgiann
3 months ago
A) Remove the step that pushes the container to Artifact Registry.
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Daron
3 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
3 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
2 months ago
User 4: Storing image artifacts in a Cloud Storage bucket can also help with optimization.
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Judy
2 months ago
User 3: Removing unnecessary steps can really make a difference in the pipeline.
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Pamella
3 months ago
User 2: I agree. It's important to optimize deployment times.
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Marilynn
3 months ago
User 1: Option B sounds like a good idea. Caching can definitely speed things up.
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Winifred
4 months ago
I think we should remove the step that pushes the container to Artifact Registry.
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