During metric analysis, your team has determined that the company`s website during peak hours is experiencing response times higher than anticipated. You currently rely on Auto Scaling to scale the application during peak windows. How can you improve your Auto Scaling policy to reduce this high response time?

Answer options:

A.Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have better fine-grain insight.
B.Increase your Auto Scaling group’s maximum number of servers.
C.Create a script that runs and monitors your servers. When it detects an anomaly in load, it posts to an Amazon SNS topic that adds more servers to the load balancer.
D.Push custom metrics to CloudWatch for your application that includes more detailed information about your web application, such as how many requests it is handling and how many requests are waiting to be processed. Set up scaling policies using the metrics.

Answer – B and D
Option A is not necessary as it is handled by CloudWatch by default.
Option B makes sense because maybe the maximum number of servers is low. Hence the application cannot handle the peak load.
Option C is incorrect because you cannot add servers to an ELB.Option D helps in ensuring Autoscaling can scale the group on the right metrics.
For more information on Autoscaling health checks, please refer to the below document link:
http://docs.aws.amazon.com/autoscaling/latest/userguide/healthcheck.html