AWS Certified Solutions Architect – Associate (SAA-C02) — Question 60

A company built a food ordering application that captures user data and stores it for future analysis. The application's static front end is deployed on an Amazon
EC2 instance. The front-end application sends the requests to the backend application running on separate EC2 instance. The backend application then stores the data in Amazon RDS.
What should a solutions architect do to decouple the architecture and make it scalable?

Answer options

• A. Use Amazon S3 to serve the front-end application, which sends requests to Amazon EC2 to execute the backend application. The backend application will process and store the data in Amazon RDS.
• B. Use Amazon S3 to serve the front-end application and write requests to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe Amazon EC2 instances to the HTTP/HTTPS endpoint of the topic, and process and store the data in Amazon RDS.
• C. Use an EC2 instance to serve the front end and write requests to an Amazon SQS queue. Place the backend instance in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.
• D. Use Amazon S3 to serve the static front-end application and send requests to Amazon API Gateway, which writes the requests to an Amazon SQS queue. Place the backend instances in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.

Correct answer: D

Explanation

Option D is correct because it utilizes Amazon S3 and API Gateway to decouple the front end from the backend, allowing for better scalability by using SQS to queue requests. The other options either do not effectively decouple the components or do not leverage scalable services like SQS and Auto Scaling in the same way as Option D.