You operate an IoT solution for a plant manufacturing ceramic filter inserts for the automotive industry. The critical part of the technology where the products are being baked in high-temperature ovens. A large number of temperature data is collected from several ovens by sensors. Most of the data collected reflects the normal behavior of equipment and can go directly to a permanent storage for archiving. Extremes, however, must be used to trigger actions for the maintenance and operations staff. For triggering actions, you want to implement an Azure Function solution. 
Is that a recommended solution?

Answer options:

A.Yes
B.No

Correct Answer: A
Option A is CORRECT because Azure Functions are designed to perform short-running (typically from seconds to minutes) operations. Functions can easily be bound to input and output services and are excellent ways of triggering back-end services, for example in case of incoming extreme values in data streams.
Option B is incorrect because it is a typical use case for integrating short-running serverless solutions , i.e. Azure Functions to your IoT solution. The function bound to the IoT Hub is triggered by the incoming messages and the function’s output can be directed to services providing the best suitable solution for the maintenance and operations, in this particular case.
References: 

https://docs.microsoft.com/en-us/samples/azure-samples/functions-js-iot-hub-processing/processing-data-from-iot-hub-with-azure-functions/
https://docs.microsoft.com/en-us/azure/azure-functions/functions-best-practices
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-function?view=iotedge-2018-06
https://docs.microsoft.com/en-us/azure/azure-functions/functions-scale#timeout