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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?

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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
7 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
7 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
6 months ago
Haha, yeah they really want to make sure we have some serious power behind this application.
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Kerrie
7 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
7 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
7 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
6 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
6 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
6 months ago
B) Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.
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Keva
7 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
7 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
7 months ago
But wouldn't using GKE to autoscale containers be more efficient?
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Vivienne
8 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
8 months ago
I think we should use Compute Engine startup scripts and gcloud commands.
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