SAA-C03 Q63 · Serverless

Question

A company is building a serverless application that processes large volumes of data from a mobile app. A Lambda function processes the data and stores it in DynamoDB. The company must ensure the application can recover from failures and continue processing without losing records. Which solution will meet these requirements?

Accepted Answer

**Option A: Lambda DLQ with SQS + Exponential Backoff**

**Requirement 1: Recover from failures** — When a Lambda function fails to process a record, the dead-letter queue (DLQ) captures the failed event payload. This means no record is silently lost. The failed record sits in SQS until it's successfully reprocessed or manually investigated.

**Requirement 2: Continue processing without losing records** — SQS is a durable, fully managed message queue. Messages persist in the queue for up to 14 days (configurable). Even if Lambda fails repeatedly, the records remain safely in the DLQ.

**Requirement 3: Serverless architecture** — Both Lambda and SQS are fully serverless services, fitting the company's architecture.

**How it works step-by-step:**
1. Lambda processes incoming data from the m

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