SAP-C02 Q531 · Analytics

Question

A company collects air quality data from sensors. The company plans to use the MQTT protocol to send the data to AWS IoT Core. The company will process the data and then will store the data in an Amazon Aurora database. During periods of low air quality, sensors will send data more frequently. The company must buffer the data during these periods to make sure that no data is lost before the data is processed and stored. Which solution will meet these requirements?

Accepted Answer

**Option B** meets all requirements:

1. **MQTT to AWS IoT Core**: The question specifies MQTT protocol, which is natively supported by AWS IoT Core. An IoT Rule Action forwards matching data to downstream services.

2. **Buffering during high-volume periods**: **Amazon Kinesis Data Streams** is a real-time data streaming service that inherently provides buffering. Data is stored in shards for up to 24 hours (default) or up to 365 days. During low air quality periods when sensors send data more frequently, Kinesis absorbs the burst — consumers read at their own pace, ensuring no data loss.

3. **Processing and storing in Aurora**: An application running on **Amazon ECS with Fargate** reads from the Kinesis stream using the Kinesis Client Library (KCL). This provides a long-running consumer

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