You are responsible for a popular file sharing application that uses Elastic Load Balancing to distribute traffic to an Amazon EC2 application tier deployed in an Auto Scaling group that runs across multiple Availability Zones. You currently record the number of user file transfers to a log file on the application server, and then write data points from the logs to an Amazon RDS MySQL instance. You are not happy with how your application scales, and want to implement a new scaling policy based on the average number of user file transfers in a 10-minute period instead of average CPU utilization in the last five minutes. What steps should you take to ensure that your application tier scales based on this new policy? (Choose two.)

A. Create a new CloudWatch alarm based on the Elastic Load Balancing "RequestCount" metric that triggers an Auto Scaling action to scale the application tier.
B. Create a new CloudWatch alarm based on a custom metric streaming from the Amazon RDS MySQL instance that triggers an Auto Scaling action to scale the application tier.
C. Create a new CloudWatch alarm based on a custom metric published from file transfer logs streaming to CloudWatch that triggers an Auto Scaling action to scale the application tier.
D. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs a CloudWatch Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfers log tile to CloudWatch.
E. Create a new Auto Scaling launch configuration for the application tier that scales based on an Auto Scaling policy that reads the file transfer log data from the Amazon RIDS MySQL instance.
F. Create a new Auto Scaling launch configuration that includes an Amazon EC2 user data script that installs an Amazon RDS Logs Agent on newly launched instances in the application tier. The agent will be configured to stream the file transfer data points to the Auto Scaling group.