Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 219 discussion

D is the correct answer. "in-memory tasks" => need the "R" EC2 instance type to archive memory optimization. So we are concerned about C & D. Because EC2 instances don't have built-in memory metrics to CW by default. As a result, we have to install the CW agent to archive the purpose.

It's D, EC2 do not provide by default memory metrics to CloudWatch and require the CloudWatch Agent to be installed on the monitored instances : https://aws.amazon.com/premiumsupport/knowledge-center/cloudwatch-memory-metrics-ec2/

Answer is most likely "D" because of the following ... - T3 EC2 instances > low cost burstable general purpose instance type that provide a baseline level of CPU performance with the ability to burst CPU usage - M5 EC2 instance > M5 instances offer a balance of compute, memory, and networking resources for a broad range of workload. - R5 EC2 instances > Amazon EC2 R5 instances are the next generation of memory optimized instances for the Amazon Elastic Compute Cloud. R5 instances are well suited for memory intensive applications such as high-performance databases etc M5 EC2 instance is already in use & having performance issues so there is no point in provisioning a lower cost , general purpose instance type like T3 EC2. So as per the given Answer option choice the best one is Answer D

how future capacity planning and just do verticall scalling will improve the performance. Question doesn't specify if these EC2 are behind auto scalling so it means they are not. out of all A seems more close to the solution

B will reduce operational overhead and better solution than keep changing the family. Also, I don't think the exam will require you to remember instance families like M5 and R5

D .....

R5 instances are better optimized for the in-memory workload than M5. Auto Scaling alone doesn't handle stateful applications well, manual capacity adjustments would still be needed. Custom latency metrics give better visibility than built-in metrics for capacity planning.

By replacing the M5 instances with R5 instances, which are optimized for memory-intensive workloads, the application can benefit from increased memory capacity and performance. In addition, deploying the CloudWatch agent on the EC2 instances allows for the generation of custom application latency metrics, which can provide valuable insights into the application's performance. This solution addresses the performance issues efficiently by leveraging the appropriate instance types and collecting custom application metrics for better monitoring and future capacity planning. A. Replacing with T3 instances may not provide enough memory capacity for in-memory tasks. B. Manually increasing the capacity of the ASG does not directly address the performance issues. C. Relying solely on built-in EC2 memory metrics may not provide enough granularity for optimizing in-memory tasks. The most efficient solution is to modify the CloudFormation templates, replace with R5 instances, and deploy the CloudWatch agent for custom metrics.

Option D is the correct answer.

will go for C

Would go with D

ı think D