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Google Professional Cloud Architect (PR000213) Exam - Topic 3 Question 95 Discussion

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?
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
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.
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.
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.

Google Professional Cloud Architect (PR000213) Exam - Topic 3 Question 95 Discussion

Actual exam question for Google's Professional Cloud Architect (PR000213) exam
Question #: 95
Topic #: 3
[All Professional Cloud Architect (PR000213) 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?

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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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Carrol
7 months ago
D could give you the best results, but it's a lot of work!
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Sherill
8 months ago
Wait, why would you run high traffic tests? Isn't that risky?
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Trina
8 months ago
C seems too complicated for just migrating an app.
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Harris
8 months ago
I think B is better for flexibility with Docker.
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Francoise
8 months ago
Option A sounds solid, similar specs to on-prem should work.
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Whitley
9 months ago
I recall that option B uses App Engine, which might not be the best fit for a third-party application. I think sticking with Compute Engine is safer, like in option A.
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Bernardo
9 months ago
I practiced a similar question where we had to choose between different instance types. I feel like option D could give us a better understanding of performance, but it might be overkill for cost optimization.
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Alverta
9 months ago
I'm not entirely sure, but I think option C might be too aggressive with autoscaling. We want to optimize costs, not just scale up based on CPU usage.
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Fanny
9 months ago
I remember we discussed how important it is to monitor resource usage after migration. Option A seems like a solid choice since it suggests using the cloud monitoring agent.
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Ciara
9 months ago
Option C looks interesting - using an instance template and a managed instance group to autoscale based on CPU utilization could be a good way to optimize costs. I'll make sure to understand how that works in the exam.
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Millie
9 months ago
Hmm, I'm a bit unsure about this one. The options seem quite different, and I'm not sure which one would be the most efficient. I might need to re-read the question and think it through carefully.
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Lavonna
9 months ago
This question seems straightforward. I think I'll go with option A - it seems like the most direct approach to optimizing the resources.
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Karina
9 months ago
Option D seems a bit overkill for this scenario. Running multiple instances with different configurations and doing a load test seems like a lot of extra work. I think I'll focus on the more straightforward options.
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Merilyn
9 months ago
I'm pretty sure the answer is Lookup, since that allows you to retrieve data from a single field and display it in a dropdown list.
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Sabine
2 years 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
2 years 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
2 years ago
B) I agree, the Rightsizing Recommendations are super helpful in optimizing resource usage for cost savings.
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Makeda
2 years 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
2 years 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
2 years 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
2 years 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.
upvoted 0 times
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Goldie
2 years 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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Mabel
2 years 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
2 years 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
2 years 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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Gilma
2 years 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
2 years 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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Aleta
2 years ago
That's a valid point, Bernardo. It's important to consider all options before making a decision.
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Bernardo
2 years 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
2 years 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
2 years 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
2 years 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
2 years 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
2 years ago
I agree, it's important to optimize resource usage for the lowest cost.
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Ressie
2 years 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
2 years 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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