Google Exam Professional Cloud DevOps Engineer Topic 3 Question 68 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam

Question #: 68
Topic #: 3

[All Professional Cloud DevOps Engineer Questions]

You are ready to deploy a new feature of a web-based application to production. You want to use Google Kubernetes Engine (GKE) to perform a phased rollout to half of the web server pods.

What should you do?

AUse a partitioned rolling update.

BUse Node taints with NoExecute.

CUse a replica set in the deployment specification.

DUse a stateful set with parallel pod management policy.

Show Suggested Answer

Suggested Answer: B

by German at May 21, 2024, 03:37 PM

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Solange

17 days ago

I'm just here for the free donuts. Oh, the question? Hmm, I'd go with A. Sounds like the most straightforward way to do a phased rollout.

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Glenna

18 days ago

D is an interesting option, but a stateful set with parallel pod management policy seems overkill for a simple web server deployment. Isn't that more for stateful applications?

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Jordan

2 days ago

I think you're right, using a stateful set might be too much for a simple web server deployment.

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Harley

28 days ago

C is a nice idea, but a replica set alone won't give you the control you need for a phased rollout. I'd want something more specific to the deployment process.

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Corinne

2 days ago

You can use Deployment strategies like RollingUpdate to control the deployment process.

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Malcom

20 days ago

Use Kubernetes Deployment objects to manage the rollout process.

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Lizette

1 months ago

B sounds interesting, but I'm not sure Node taints with NoExecute are the right tool for this task. Shouldn't we be looking at something more deployment-focused?

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Elouise

16 hours ago

B: That's a good point. Deployments would be more deployment-focused than Node taints.

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Floyd

16 days ago

A: I think we should consider using Kubernetes Deployments for a phased rollout.

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Lisbeth

1 months ago

I think option A is the way to go. A partitioned rolling update allows you to gradually roll out the new feature to a subset of the pods, which seems perfect for this scenario.

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