A streaming company is using AWS resources in the us-east-1 Region for its production environment. The web tier of the streaming site runs on Amazon EC2 instances behind an Application Load Balancer (ALB).
The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group is configured to scale when the CPU utilization of the instances is greater than 75%. The user database is hosted on an Amazon RDS MySQL cluster, and video content is stored within an Amazon S3 bucket.
Amazon CloudWatch metrics show that the RDS MySQL Multi-AZ DB instance has around 16 GB of memory free and an average CPU utilization of 70%. It is taking users in Asia several seconds longer to access the streaming website.
Which combination of actions will improve the access load times? (Choose two.)

A. Configure RDS MySQL Multi-AZ to reduce RDS CPU and RAM utilization and distribute queries to multiple Availability Zones.
B. Modify the EC2 Auto Scaling group so it will scale horizontally when CPU utilization is 50%.
C. Provision a second production environment in the Asia Pacific Region and use an ALB to distribute cross-Region access.
D. Provision a second production environment in the Asia Pacific Region and use Amazon Route 53 latency-based routing.
E. Set up an Amazon CloudFront distribution to handle static content for users accessing it from different geographic locations.