SAA-C03 Q33 · Analytics

Question

A company hosts an industrial control application that receives sensor input through Amazon Kinesis Data Streams. The application needs to support new sensors for real-time anomaly detection in monitored equipment. The company wants to integrate new sensors in a loosely-coupled, fully managed, and serverless way. The company cannot modify the application code. Which solution will meet these requirements?

Accepted Answer

**Answer A** satisfies every requirement:

1. **Real-time anomaly detection**: Amazon Managed Service for Apache Flink (formerly Kinesis Data Analytics) processes streaming data in real time with sub-second latency. It natively supports anomaly detection algorithms (e.g., Random Cut Forest) built into SQL-based or Apache Flink applications.

2. **Fully managed & serverless**: Managed Apache Flink is a fully managed service — AWS handles provisioning, scaling, and maintenance. There are no servers to manage, making it serverless from the customer's perspective.

3. **Loosely coupled**: The architecture uses two separate Kinesis Data Streams — one as input (existing sensor data) and one as output (processed/anomaly-detected data). The Flink application sits between them as a decoupled proces

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