Designing and Implementing an Azure AI Solution (legacy) — Question 25

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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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 an Azure Machine Learning model as an IoT Edge module.
Does this meet the goal?

Answer options

Correct answer: A

Explanation

Deploying an Azure Machine Learning model as an IoT Edge module allows the devices to analyze streaming data locally and detect anomalies effectively. This solution meets the goal as it enables real-time processing and integration with Azure IoT Hub. The alternative option, 'No', is incorrect because it dismisses the capability of the Azure Machine Learning model to function as intended within the IoT Edge environment.