Google Exam Professional-Data-Engineer Topic 1 Question 78 Discussion

Actual exam question for Google's Google Cloud Certified Professional Data Engineer exam

Question #: 78
Topic #: 1

[All Google Cloud Certified 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 Nicolette at Mar 04, 2024, 04:41 AM

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Adelina

4 months ago

I see the benefit of using Cloud Scheduler to run the job as well.

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Tammara

5 months ago

I beliTammara using Dataflow for the data pipeline is the best option.

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Leila

5 months ago

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

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Adelina

5 months ago

I prefer using Cloud Build with Terraform to provision the infrastructure.

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Leila

5 months ago

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

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Amos

6 months ago

Absolutely, and Dataflow and Cloud Scheduler seem more focused on data processing pipelines, which isn't the core requirement here. Cloud Build and Terraform is the way to go.

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Portia

6 months ago

Yeah, that's a good point. The other options like using Compute Engine startup scripts or GKE autoscaling don't seem to address the need for specialized hardware like GPUs and local SSDs.

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Ariel

6 months ago

I agree, the Cloud Build and Terraform option seems like the most comprehensive and efficient solution. It allows us to manage the entire provisioning and deployment process programmatically.

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Theresia

6 months ago

Hmm, this question seems to be testing our knowledge of infrastructure provisioning and deployment strategies for GKE. I'm thinking the best approach would be to use Cloud Build and Terraform to provision the infrastructure and deploy the latest container images.

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