Google Exam Professional Cloud Architect Topic 3 Question 95 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 95
Topic #: 3

[All Professional Cloud Architect Questions]

You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

ACreate a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console

BCreate an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.

CCreate an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

DCreate multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.

Show Suggested Answer

Suggested Answer: A

Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console

https://cloud.google.com/migrate/compute-engine/docs/4.9/concepts/planning-a-migration/cloud-instance-rightsizing?hl=en

by Charlene at Sep 14, 2024, 08:15 PM

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Sabine

8 months ago

I'm leaning towards A. Gotta love those Rightsizing Recommendations - it's like having a personal shopper for your cloud resources!

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Elke

7 months ago

A) Definitely! It's like having a personal shopper for your cloud resources, making sure you get the best value.

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Talia

7 months ago

B) I agree, the Rightsizing Recommendations are super helpful in optimizing resource usage for cost savings.

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Makeda

8 months ago

A) Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console

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Erasmo

9 months ago

D could work, but running a high-traffic load test? That's like asking a hungry lion to taste-test your new recipe - not the safest option!

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Theresia

8 months ago

D) Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.

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Krissy

8 months ago

C) Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

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Goldie

8 months ago

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Mabel

9 months ago

C is an intriguing idea, but I'm not convinced autoscaling is the best approach here. What if the traffic patterns change unexpectedly?

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Esteban

8 months ago

C) Autoscaling can be risky, I agree. It's better to have more control over the resources based on the specific needs of the application.

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Santos

8 months ago

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Gilma

8 months ago

B) Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.

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Kate

8 months ago

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Aleta

9 months ago

That's a valid point, Bernardo. It's important to consider all options before making a decision.

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Bernardo

9 months ago

I disagree, I believe option D is more practical. Testing with different CPU and memory options will give us a better understanding of the optimal settings.

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Anjelica

9 months ago

B looks interesting, but I'm not sure about the custom runtime. Might be more work than I want to take on for this project.

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Ezekiel

9 months ago

Option A seems like the way to go - the monitoring agent and Rightsizing Recommendations should help me find the perfect balance of CPU and memory.

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Carolann

8 months ago

Running a load test with high traffic levels on multiple Compute Engine instances could also provide valuable insights for optimizing settings.

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Alana

8 months ago

Creating an instance template with the smallest available machine type and using average CPU to autoscale sounds like a good option too.

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Novella

9 months ago

I agree, it's important to optimize resource usage for the lowest cost.

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Ressie

9 months ago

Option A seems like the way to go - the monitoring agent and Rightsizing Recommendations should help me find the perfect balance of CPU and memory.

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Aleta

9 months ago

I think option A is the best choice. It allows us to monitor the application's performance and make adjustments based on the recommendations.

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