Explanation:
Box 1: Azure Event Hub
In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs. Your Stream Analytics job would ingest these events from Event Hubs or IoT Hubs and run real-time analytics queries against the streams.
Box 2: Azure Stream Analytics
Analyze the data and identify manufacturing defects among items on the production line.
Box 3: Azure IoT Central
When a manufacturing defect is identified, flag the item for removal from the production line.
IoT Central is an IoT application platform as a service (aPaaS) that reduces the burden and cost of developing, managing, and maintaining IoT solutions.
The web UI lets you quickly connect devices, monitor device conditions, create rules, and manage devices and their data throughout their life cycle. Furthermore, it enables you to act on device insights by extending IoT intelligence into line-of-business applications. After you've used IoT Central to evaluate your IoT scenario, you can then build your enterprise-ready Azure IoT solution.
Reference:
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure- stream-analytics-to-process-data-from-iot-devices
https://learn.microsoft.com/en-us/azure/iot-central/core/overview-iot-central