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A company is building an ecommerce platform that will allow customers to place orders online.

A company is building an ecommerce platform that will allow customers to place orders online. Customer traffic varies significantly. An order-processing microservice is running on a group of Amazon EC2 instances. A solutions architect must ensure that the application remains responsive and decoupled from the frontend. The application must also be able to reprocess orders that the application fails to process on the first attempt. Which solution will meet these requirements?

A.

Deploy an Application Load Balancer in front of the order-processing microservice. Configure the Amazon EC2 instances to scale out automatically based on CPU utilization metrics as traffic increases.

B.

Deploy an Amazon SQS queue to integrate the frontend and the order-processing microservice. Configure the frontend to send messages to the queue. Configure the EC2 instances to process messages from the queue.

C.

Establish direct HTTPS connections from the frontend to the microservice. Use a dynamically expanding thread pool to handle concurrency at the microservice layer.

D.

Use Amazon Kinesis Data Streams to ingest all order requests from the frontend. Configure the Amazon EC2 instances to continuously poll the stream and process orders in near real time.

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