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A company hosts its order processing system on AWS.

A company hosts its order processing system on AWS. The architecture consists of a frontend and a backend. The frontend includes an Application Load Balancer (ALB) and Amazon EC2 instances in an Auto-Scaling group. The backend includes an EC2 instance and an Amazon RDS MySQL database.

To prevent incomplete or lost orders, the company wants to ensure that order states are always preserved. The company wants to ensure that every order will eventually be processed, even after an outage or pause. Every order must be processed exactly once.

A.

Create an Auto Scaling group and an ALB for the backend. Create a read replica for the RDS database in a second Availability Zone. Update the backend RDS endpoint.

B.

Create an Auto Scaling group and an ALB for the backend. Create an Amazon RDS proxy in front of the RDS database. Update the backend EC2 instance to use the Amazon RDS proxy endpoint.

C.

Create an Auto Scaling group for the backend. Configure the backend EC2 instances to con-sume messages from an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Configure a dead-letter queue (DLQ) for the SQS queue.

D.

Create an AWS Lambda function to replace the backend EC2 instance. Subscribe the func-tion to an Amazon Simple Notification Service (Amazon SNS) topic. Configure the frontend to send orders to the SNS topic.

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