Google Professional Cloud Developer Exam - Topic 4 Question 77 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 77
Topic #: 4

[All Professional Cloud Developer Questions]

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:

* Test frequent local changes automatically.

* Local deployment emulates production deployment.

Which tools should you use to test building and running a container on your laptop using minimal resources'?

ATerraform and kubeadm

BDocker Compose and dockerd

CMinikube and Skaffold

Dkaniko and Tekton

Show Suggested Answer

Suggested Answer: B

by Fletcher at Mar 06, 2024, 09:42 AM

Limited Time Offer

25%

Off

Get Premium Professional Cloud Developer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Harrison

4 months ago

I’d go with C, it’s lightweight and efficient!

upvoted 0 times

...

Chandra

4 months ago

Docker Compose is good too, but not as close to production.

upvoted 0 times

...

Refugia

4 months ago

Wait, can you really run a full GKE setup on a laptop?

upvoted 0 times

...

Lawana

4 months ago

Totally agree, they mimic production well.

upvoted 0 times

...

Keena

4 months ago

I think Minikube and Skaffold are the best for local testing!

upvoted 0 times

...

Shizue

5 months ago

I'm a bit confused about kaniko and Tekton; I thought they were more for CI/CD pipelines rather than local testing.

upvoted 0 times

...

Eura

5 months ago

I feel like I saw a similar question about local development tools, and Minikube with Skaffold was the answer there too.

upvoted 0 times

...

Sommer

5 months ago

I think Docker Compose could work, but it might not fully emulate the GKE environment like Minikube does.

upvoted 0 times

...

Adolph

5 months ago

I remember practicing with Minikube for local Kubernetes setups, but I'm not sure if Skaffold is the right tool for automatic testing.

upvoted 0 times

...

Val

5 months ago

I feel pretty confident about this one. Minikube and Skaffold seem like the perfect tools to meet the requirements. Minikube can run a local Kubernetes cluster, and Skaffold can automatically build and deploy our changes. Seems like a straightforward solution.

upvoted 0 times

...

Skye

5 months ago

Okay, I've got a strategy for this. I'm going to focus on the requirements - testing frequent local changes and emulating the production deployment. Based on that, I think the best choice is option C, Minikube and Skaffold.

upvoted 0 times

...

Mica

5 months ago

Hmm, I'm a bit unsure about this one. There are a few different options presented, and I'm not sure which one best meets the requirements. I'll need to think this through carefully.

upvoted 0 times

...

Winifred

5 months ago

This looks like a good question to test our understanding of local development tools for Kubernetes. I think the key is finding a solution that can automatically test our changes and emulate the production environment.

upvoted 0 times

...

Rolland

5 months ago

Wait, do we need to configure the timezone as well? The question doesn't mention it, but I'm wondering if that's something I should include in the playbook just to be safe.

upvoted 0 times

...

Brock

6 months ago

I'm leaning towards the Batch data API. It seems like the most scalable and efficient option for a large, relatively static dataset that needs to be kept in sync. The real-time requirement can probably be met by scheduling frequent batch updates.

upvoted 0 times

...

Brent

6 months ago

Okay, this looks like a question about medical record organization. The key phrase is 'strictly chronological', so I'm leaning towards universal chart order.

upvoted 0 times

...

Toi

6 months ago

This seems like a straightforward question about the effectiveness of controls. I'll think through the options carefully and choose the one that best fits the question.

upvoted 0 times

...

Lajuana

6 months ago

I'm pretty sure this has to do with associating the end user to a SIP profile, so I'll go with option C.

upvoted 0 times

...

Jaime

2 years ago

D) kaniko and Tekton are great too, but they might be a bit more complex to set up compared to Minikube and Skaffold.

upvoted 0 times

...

Kenneth

2 years ago

What about D) kaniko and Tekton? They are also good tools for building and testing containers locally.

upvoted 0 times

...

Izetta

2 years ago

I agree with C), Minikube allows for local deployment that emulates the production environment.

upvoted 0 times

...

Jaime

2 years ago

I think C) Minikube and Skaffold would be a good choice for testing the changes locally.

upvoted 0 times

...

Caprice

2 years ago

Haha, Mitsue, you make a good point. It's like the age-old debate - 'will it work on my machine?'. At least with Minikube and Skaffold, we'd be closer to the real thing.

upvoted 0 times

...

Mitsue

2 years ago

Ah yes, the old 'Docker Compose and dockerd' trick. Works like a charm! Although, I do wonder if it really emulates the production environment well enough.

upvoted 0 times

...

Mary

2 years ago

That's a good point, Mei. Maybe Docker Compose and dockerd would be a simpler solution. We can test the container locally without the overhead of a full Kubernetes cluster.

upvoted 0 times