Google Exam Professional Data Engineer Topic 2 Question 87 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 87
Topic #: 2

[All Professional Data Engineer Questions]

You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be launched with their latest available configurations from a container registry. Your GKE nodes need to have GPUs. local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure and manage the deployment process. What should you do?

AUse Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision the infrastructure.

BUse GKE to autoscale containers, and use gloud commands to provision the infrastructure.

CUse Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.

DUse Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.

Show Suggested Answer

Suggested Answer: C

https://cloud.google.com/architecture/managing-infrastructure-as-code

by Stevie at Jul 03, 2024, 04:27 PM

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Tijuana

5 months ago

Option D seems like the most straightforward solution. Dataflow can handle the data processing, and Cloud Scheduler can run the job on a schedule.

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Benton

5 months ago

Haha, I love how they're trying to throw GPUs and SSDs into the mix. Clearly, they want to make sure we're not just running this on a Raspberry Pi.

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Chery

5 months ago

Haha, yeah they really want to make sure we have some serious power behind this application.

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Kerrie

5 months ago

A) Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision the infrastructure.

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Colton

5 months ago

Wait, did they really say 'gloud' instead of 'gcloud'? I guess they're just testing our attention to detail.

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Sharee

5 months ago

Option C looks good, but I'm not sure if Terraform is the best way to provision the infrastructure. Cloud Build might be overkill for this use case.

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King

4 months ago

Option C looks good, but I'm not sure if Terraform is the best way to provision the infrastructure. Cloud Build might be overkill for this use case.

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Ricarda

4 months ago

C) Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.

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Latanya

4 months ago

B) Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.

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Keva

5 months ago

A) Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision the infrastructure.

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Vivienne

5 months ago

That could work too, but I think Cloud Build with Terraform offers better control over the deployment process.

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Juan

6 months ago

But wouldn't using GKE to autoscale containers be more efficient?

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Vivienne

6 months ago

I disagree, I believe using Cloud Build with Terraform to schedule a job is the way to go.

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Juan

6 months ago

I think we should use Compute Engine startup scripts and gcloud commands.

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