Does this meet the goal?

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You have Azure IoT Edge devices that generate streaming data.

On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.

Solution: You deploy Azure Functions as an IoT Edge module.

Does this meet the goal?
A . Yes
B . No

View Answer

Answer: B

Explanation:

Instead use Azure Stream Analytics and REST API.

Note. Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies: temporary and persistent.

Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.

References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly­detection