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Answer: 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 test with normal traffic levels on the application, and follow the Rightsizing Recommendations in the Cloud Console.
The correct answer is D. Creating a Compute Engine instance with CPU and memory options similar to your application's current on-premises virtual machine and then utilizing the Cloud Monitoring agent to run load tests and follow the Rightsizing Recommendations in the Cloud Console is the most effective approach. Rightsizing Recommendations provide both performance-based and cost-based recommendations based on actual usage data to help optimize resource allocation and minimize costs. This method ensures that you are making data-driven decisions to optimize your cloud infrastructure efficiently.
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You are in the process of migrating third-party applications from optimized on-premises virtual machines to Google Cloud Platform (GCP). You are uncertain about which CPU and memory configurations would be optimal in the cloud environment. The third-party applications exhibit a consistent usage pattern over several weeks. Your goal is to optimize resource usage while minimizing costs. What steps should you take to achieve this?
A
Create an instance template with the smallest available machine type, and use an image of the third-party application taken from a current on-premises virtual machine. Create a managed instance group that uses average CPU utilization to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.
B
Create an App Engine flexible environment, and deploy the third-party application using a Dockerfile 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 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.
D
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 test with normal traffic levels on the application, and follow the Rightsizing Recommendations in the Cloud Console.