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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?

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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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Sabine
3 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
2 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
2 months ago
B) I agree, the Rightsizing Recommendations are super helpful in optimizing resource usage for cost savings.
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Makeda
2 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
3 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
3 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
3 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
3 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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Mabel
4 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
3 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
3 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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Gilma
3 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
3 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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Aleta
4 months ago
That's a valid point, Bernardo. It's important to consider all options before making a decision.
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Bernardo
4 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
4 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
4 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
3 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
3 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
3 months ago
I agree, it's important to optimize resource usage for the lowest cost.
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Ressie
4 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
4 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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