A company has a memory-intensive application that runs on a fleet of Amazon EC2 instances behind an Elastic Load Balancer (ELB). The instances run in an Auto Scaling group. A SysOps administrator must ensure that the application can scale based on the number of users that connect to the application. Which solution will meet these requirements?

QuestionsCategory: SOA-C02A company has a memory-intensive application that runs on a fleet of Amazon EC2 instances behind an Elastic Load Balancer (ELB). The instances run in an Auto Scaling group. A SysOps administrator must ensure that the application can scale based on the number of users that connect to the application. Which solution will meet these requirements?
Admin Staff asked 7 months ago
A company has a memory-intensive application that runs on a fleet of Amazon EC2 instances behind an Elastic Load Balancer (ELB). The instances run in an Auto Scaling group. A SysOps administrator must ensure that the application can scale based on the number of users that connect to the application.
Which solution will meet these requirements?

A. Create a scaling policy that will scale the application based on the ActiveConnectionCount Amazon CloudWatch metric that is generated from the ELB.

B. Create a scaling policy that will scale the application based on the mem_used Amazon CloudWatch metric that is generated from the ELB.

C. Create a scheduled scaling policy to increase the number of EC2 instances in the Auto Scaling group to support additional connections.

D. Create and deploy a script on the ELB to expose the number of connected users as a custom Amazon CloudWatch metric. Create a scaling policy that uses the metric.








 

Correct Answer: A

This question is in SOA-C02 exam
For getting AWS Certified SysOps Administrator - Associate

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