AWS Certified DevOps Engineer – Professional — Question 39

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks.
Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue.
Which combination of actions will meet these requirements? (Choose two.)

Answer options

• A. Change the Auto Scaling configuration to replace the instances when they fail the load balancer's health checks.
• B. Change the target group health check HealthCheckIntervalSeconds parameter to reduce the interval between health checks.
• C. Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.
• D. Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off.
• E. Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

Correct answer: A, E

Explanation

Option A is correct because replacing unhealthy instances ensures that the Auto Scaling group maintains operational capacity. Option E is also correct as using the Amazon CloudWatch agent to track memory utilization and alerting on high usage helps in proactively addressing potential memory leaks. Options B, C, and D do not directly address the need for resilience improvements and monitoring of memory utilization.