SAA-C03 Q436 · Scaling

Question

A media publishing company is building an application on AWS to give users the ability to print their own books. The application frontend runs on a Docker container. The amount of incoming orders varies significantly. The incoming orders can temporarily exceed the throughput of the company's book printing machines. Order-processing payloads are up to 4 MB in size. The company needs to develop a solution that can scale to handle incoming orders. Which solution will meet this requirement?

Accepted Answer

Option C satisfies every requirement in the question:

1. **Buffering variable incoming orders**: Amazon SQS is a fully managed message queue service designed to decouple producers from consumers. When incoming orders temporarily exceed printing capacity, SQS acts as a buffer — messages persist in the queue until they can be processed. This is the textbook use case for SQS.

2. **Payload size up to 4 MB**: SQS supports message sizes up to 256 KB by default, but with the **SQS Extended Client Library** or by storing the payload in S3, messages up to 2 GB can be handled. However, AWS Lambda's invocation payload limit is 6 MB (synchronous), so a 4 MB order payload is within Lambda's processing capability. For SQS, messages over 256 KB would use the extended client library pattern.

3. **Scala

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