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A company needs to accommodate traffic for a web application that the company hosts on...

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A company needs to accommodate traffic for a web application that the company hosts on AWS, especially during peak usage hours.

The application uses Amazon EC2 instances as web servers, an Amazon RDS DB instance for database operations, and an Amazon S3 bucket to store transaction documents. The application struggles to scale effectively and experiences performance issues.

The company wants to improve the scalability of the application and prevent future performance issues. The company also wants to improve global access speeds to the transaction documents for the company's global users.

Which solution will meet these requirements?

A.

Place the EC2 instances in Auto Scaling groups to scale appropriately during peak usage hours. Use Amazon RDS read replicas to improve database read performance. Deploy an Amazon CloudFront distribution that uses Amazon S3 as the origin.

B.

Increase the size of the EC2 instances to provide more compute capacity. Use Amazon ElastiCache to reduce database read loads. Use AWS Global Accelerator to optimize the delivery of the transaction documents that are in the S3 bucket.

C.

Transition workloads from the EC2 instances to AWS Lambda functions to scale in response to the usage peaks. Migrate the database to an Amazon Aurora global database to provide cross-Region reads. Use AWS Global Accelerator to deliver the transaction documents that are in the S3 bucket.

D.

Convert the application architecture to use Amazon Elastic Container Service (Amazon ECS) containers. Configure a Multi-AZ deployment of Amazon RDS to support database operations. Replicate the transaction documents that are in the S3 bucket across multiple AWS Regions.

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