SAA-C03 Q371 · Serverless

Question

A media publishing company is building an application that allows users to print custom books. The frontend runs in a Docker container. Incoming order volume is highly variable and can exceed the throughput of the physical printing machines. Order-processing payloads can be up to 4 MB. The company needs a scalable solution for handling incoming orders. Which solution will meet this requirement?

Accepted Answer

**Option C meets every requirement systematically:**

1. **Highly variable order volume → Amazon SQS**: SQS is a fully managed message queue that decouples producers (frontend) from consumers (order processors). When incoming orders exceed printing capacity, SQS acts as a buffer, holding messages until they can be processed. This is the textbook use case for a queue — absorbing bursts and smoothing out variable workloads.

2. **Payload up to 4 MB → SQS supports this**: SQS messages can be up to **256 KB** by default, but with the **Amazon SQS Extended Client Library**, payloads up to **2 GB** are supported (stores the payload in S3 and passes a reference). However, for the exam context, 4 MB is within the feasible range using this pattern. Alternatively, Lambda itself supports payloads up

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