A DevOps Engineer is launching a new application that will be deployed on infrastructure using Amazon Route 53, an Application Load Balancer, Auto Scaling, and Amazon DynamoDB. One of the key requirements of this launch is that the application must be able to scale to meet a load increase. During periods of low usage, the infrastructure components must scale down to optimize cost. What steps can the DevOps Engineer take to meet the requirements? (Choose two.)
A. Use AWS Trusted Advisor to submit limit increase requests for the Amazon EC2 instances that will be used by the infrastructure.
B. Determine which Amazon EC2 instance limits need to be raised by leveraging AWS Trusted Advisor, and submit a request to AWS Support to increase those limits.
C. Enable Auto Scaling for the DynamoDB tables that are used by the application.
D. Configure the Application Load Balancer to automatically adjust the target group based on the current load.
E. Create an Amazon CloudWatch Events scheduled rule that runs every 5 minutes to track the current use of the Auto Scaling group. If usage has changed, trigger a scale-up event to adjust the capacity. Do the same for DynamoDB read and write capacities.
A. Use AWS Trusted Advisor to submit limit increase requests for the Amazon EC2 instances that will be used by the infrastructure.
B. Determine which Amazon EC2 instance limits need to be raised by leveraging AWS Trusted Advisor, and submit a request to AWS Support to increase those limits.
C. Enable Auto Scaling for the DynamoDB tables that are used by the application.
D. Configure the Application Load Balancer to automatically adjust the target group based on the current load.
E. Create an Amazon CloudWatch Events scheduled rule that runs every 5 minutes to track the current use of the Auto Scaling group. If usage has changed, trigger a scale-up event to adjust the capacity. Do the same for DynamoDB read and write capacities.