Using real-time data ingested from the hundreds of sensors connected to your IoT hub, you need to extract, aggregate, and send some key data to PowerBI dashboards for real-time display. You decide to use Stream Analytics for cost-effective real-time event processing. 
How should you connect Stream Analytics to your IoT hub?

Answer options:

A.Create a consumer group in IoT Hub and connect Stream Analytics job to it
B.In the IoT Hub, add a message route to the Stream Analytics job endpoint
C.Create a custom endpoint in IoT Hub and connect Stream Analytics job to it
D.Create a message route to Azure Storage and link a Stream Analytics job to it

Correct Answer: A
Option A is CORRECT because you need to create a consumer group in the built-in endpoints and then use that as a source connection in the Inputs section of Stream Analytics.
Option B is incorrect because in message routing you can only use Azure Storage, Event Hubs, and Service Bus as custom endpoints. Stream Analytics is not an option.
Option C is incorrect because you cannot create custom endpoints. Instead, a consumer group must be created for the built-in Events endpoint so that other back-end services can pull data from the IoT hub.
Option D is incorrect because while technically, you can use storage containers as inputs for Stream Analytics jobs, in the current scenario real-time behavior is required, hence ingestion directly from the IoT hub is recommended.
Diagram: 

References: 

https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#event-consumers