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Google Professional Data Engineer Exam - Topic 1 Question 78 Discussion

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?
C) Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
A) Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision the infrastructure.
B) Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.
D) Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.

Google Professional Data Engineer Exam - Topic 1 Question 78 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 78
Topic #: 1
[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?

Show Suggested Answer Hide 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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Felix
9 months ago
Local SSDs are a must for performance, good call!
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Regenia
9 months ago
Wait, can Dataflow really handle this?
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Evan
10 months ago
A is outdated, we need to use newer methods.
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Ricki
10 months ago
I disagree, C is more efficient with Terraform.
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Annice
10 months ago
B seems like the best option for autoscaling.
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Lashanda
10 months ago
I vaguely remember Dataflow being mentioned in our study materials, but I don't think it fits here since we need to manage container images directly.
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Ozell
11 months ago
I feel like using Compute Engine startup scripts might be too manual for this. I think we should focus on something more automated like GKE.
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Lauran
11 months ago
I think option C sounds familiar. We practiced using Terraform with Cloud Build in a similar question, but I can't recall the exact details.
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Lewis
11 months ago
I remember we discussed using GKE for autoscaling, but I'm not sure if that's the best option for this specific scenario.
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Ellsworth
11 months ago
Okay, I think I've got it. The question is asking us to set up a GKE cluster with the required specifications, and then deploy the data processing application using the latest container images. Cloud Build and Terraform seem like the way to go.
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Jettie
11 months ago
Ah, I see. Using Cloud Build and Terraform to provision the infrastructure and launch the latest container images seems like the most efficient and scalable solution here. That's the approach I'll focus on.
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Lorita
11 months ago
Hmm, I'm a bit confused about the different options here. I'm not sure if using Compute Engine startup scripts or Dataflow is the right approach for this scenario. I'll need to think it through carefully.
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Salome
11 months ago
This question seems pretty straightforward. I think the key is to use a combination of GKE and Terraform to provision the infrastructure and manage the deployment process.
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Sylvie
11 months ago
Hmm, I'm a bit unsure about this one. I'm debating between B and C, since sending the same email delivery could also potentially save time with a template. I'll have to think this through a bit more.
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Yolande
11 months ago
Huh, this is an interesting question. I'll need to carefully consider the purpose and contents of each log file to find the one that doesn't belong.
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Kara
11 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the definition of MTTR and how it relates to the time taken to diagnose the problem.
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Youlanda
11 months ago
Okay, let me walk through this step-by-step. Positive risks are opportunities, so the best strategy would be to accept and capitalize on them.
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Buddy
11 months ago
I think the minimal privilege required to create a view is SELECT on the underlying tables, but I'm not entirely sure.
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Erasmo
11 months ago
I hope none of the options state that new content types can't be created, because I thought I read that you can create them through Model Manager.
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Adelina
2 years ago
I see the benefit of using Cloud Scheduler to run the job as well.
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Tammara
2 years ago
I beliTammara using Dataflow for the data pipeline is the best option.
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Leila
2 years ago
But wouldn't using GKE to autoscale containers be more efficient?
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Adelina
2 years ago
I prefer using Cloud Build with Terraform to provision the infrastructure.
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Leila
2 years ago
I think we should use Compute Engine startup scripts and gloud commands.
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Amos
2 years 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
2 years 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
2 years 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
2 years 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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Dallas
2 years 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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Evette
2 years ago
I don't think that option covers the requirement to launch containers with their latest configurations.
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Winifred
2 years ago
B) Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.
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Malcolm
2 years ago
That seems like a solid plan to efficiently deploy the latest container images.
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German
2 years 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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Alease
2 years ago
Hmm, that sounds like a good option for provisioning the infrastructure.
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Lenora
2 years ago
A) Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision the infrastructure.
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