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

A company’s application is having performance issues. The application is stateful and needs to complete in-memory tasks on Amazon EC2 instances. The company used AWS CloudFormation to deploy infrastructure and used the M5 EC2 instance family. As traffic increased, the application performance degraded. Users are reporting delays when the users attempt to access the application.

Which solution will resolve these issues in the MOST operationally efficient way?

  • A. Replace the EC2 instances with T3 EC2 instances that run in an Auto Scaling group. Make the changes by using the AWS Management Console.
  • B. Modify the CloudFormation templates to run the EC2 instances in an Auto Scaling group. Increase the desired capacity and the maximum capacity of the Auto Scaling group manually when an increase is necessary.
  • C. Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Use Amazon CloudWatch built-in EC2 memory metrics to track the application performance for future capacity planning.
  • D. Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Deploy the Amazon CloudWatch agent on the EC2 instances to generate custom application latency metrics for future capacity planning.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️

Comments

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Parsons
Highly Voted 1 year, 5 months ago
Selected Answer: D
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.
upvoted 32 times
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Babba
Highly Voted 1 year, 5 months ago
Selected Answer: D
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/
upvoted 11 times
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a7md0
Most Recent 1 week, 6 days ago
Selected Answer: B
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
upvoted 1 times
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lofzee
1 month, 1 week ago
Selected Answer: D
D .....
upvoted 1 times
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Guru4Cloud
9 months, 4 weeks ago
Selected Answer: 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.
upvoted 4 times
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cookieMr
1 year ago
Selected Answer: D
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.
upvoted 4 times
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Bmarodi
1 year, 1 month ago
Selected Answer: D
Option D is the correct answer.
upvoted 1 times
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BABU97
1 year, 3 months ago
will go for C
upvoted 1 times
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Aninina
1 year, 5 months ago
Selected Answer: D
Would go with D
upvoted 1 times
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mhmt4438
1 year, 5 months ago
Selected Answer: D
ı think D
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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