Which solution will meet these requirements?
Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.
Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Publish all the orders to the SNS standard topic. Configure the application as a notification target.
Create a flow by using Amazon AppFlow. Send the orders to the flow. Configure an AWS Lambda function as the target to process the orders.
Configure AWS X-Ray in the application to track the order requests. Configure the application to process the orders by pulling the orders from Amazon CloudWatch.
Explanations:
Using an Amazon SQS FIFO queue ensures that each order is processed exactly once, as FIFO queues guarantee order and deduplication. The integration with AWS Lambda allows for scalable processing of orders while handling unpredictable traffic surges without impacting customer experience.
An Amazon SNS standard topic does not guarantee message delivery exactly once; it can deliver messages multiple times. This could lead to duplicate processing of orders, which does not meet the requirement for exactly-once processing.
Amazon AppFlow is primarily used for transferring data between SaaS applications and does not inherently ensure exactly-once processing of orders. Using it with AWS Lambda does not provide the same guarantees as using an SQS FIFO queue.
AWS X-Ray is a tracing service that helps analyze and debug applications but does not process orders. Additionally, processing orders from CloudWatch does not provide an exactly-once guarantee and is not a suitable method for order processing.
In my opinion, the answer is:
Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.