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Google Professional Cloud DevOps Engineer Exam - Topic 6 Question 55 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 55
Topic #: 6
[All Professional Cloud DevOps Engineer Questions]

You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

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Suggested Answer: A

The best option for selecting the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps is to use the Recommender API and apply the suggested recommendations. The Recommender API is a service that provides recommendations for optimizing your Google Cloud resources, such as Compute Engine instances, disks, and firewalls. You can use the Recommender API to get recommendations for changing the machine type of your Compute Engine instances based on historical system metrics, such as CPU utilization. You can also apply the suggested recommendations by using the Recommender API or Cloud Console. This way, you can optimize CPU utilization by using the most suitable machine type for your application with minimal effort.


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Jaleesa
3 months ago
Wait, can the Recommender API really optimize that quickly? Sounds too easy!
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Gearldine
3 months ago
C seems like an extra step, why not just use A?
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Irma
4 months ago
B sounds good for monitoring, but not for optimizing machine type.
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Ryan
4 months ago
I’m not so sure about D, lowest CPU might not be the best choice.
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Delsie
4 months ago
A is definitely the way to go! Recommender API saves time.
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Tomas
4 months ago
I feel like the Recommender API is the best choice here, but I wonder if there are any specific metrics we should focus on when applying the recommendations.
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Florinda
4 months ago
I remember a practice question where we had to analyze CPU utilization, and I think reviewing the Cloud Monitoring dashboard could help, but it might not be the most efficient step.
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Kerrie
4 months ago
I’m not sure about the Ops Agent options; they seem more focused on monitoring rather than directly optimizing machine types.
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Gilbert
5 months ago
I think using the Recommender API sounds right since it’s designed to provide suggestions based on historical metrics.
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Nydia
5 months ago
The key here is to follow Google-recommended practices, so I think option B with the Agent Policy is the way to go. That'll help me get the Ops Agent installed across all my VMs.
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Rolland
5 months ago
Hmm, I'm a bit confused. The question mentions using historical system metrics, but option A doesn't seem to explicitly mention that. I'll need to double-check the details on the Recommender API.
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Lynsey
5 months ago
This seems pretty straightforward. I'll go with option A and use the Recommender API to get the suggested machine type that optimizes CPU utilization.
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Della
5 months ago
I'm leaning towards option D. Reviewing the Cloud Monitoring dashboard directly seems like the most reliable way to identify the machine type with the lowest CPU utilization, which is what the question is asking for.
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Jean
5 months ago
Okay, I got this. Based on the information provided, the adjacency is in the two-way state, where both routers have received a database description packet from each other.
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Vonda
5 months ago
Hmm, I'm not entirely sure about this one. I'll need to think it through carefully to make sure I don't miss anything.
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Simona
5 months ago
I've done something similar before, so I'm feeling pretty confident about this. I'll start by adding the Azure Boards app to the GitHub repo and see where that takes me.
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Werner
5 months ago
Hmm, I'm not sure if that's the only thing I need to do. The question mentions something about the experiment run context, so I want to make sure I'm handling that properly too. I'll double-check the requirements.
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