Exam AI-100 topic 4 question 8 discussion

Actual exam question from Microsoft's AI-100

Question #: 8
Topic #: 4

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.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: A 🗳️
You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. For example, you can deploy an Azure
Machine Learning module that predicts when a device fails based on simulated machine temperature data.
References:
https://docs.microsoft.com/bs-latn-ba/azure/iot-edge/tutorial-deploy-machine-learning

by rveney at June 22, 2023, 7:30 p.m.

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rveney

2 years ago

A. Yes The solution of deploying an Azure Machine Learning model as an IoT Edge module meets the goal of detecting anomalies in the data generated by Azure IoT Edge devices and adding information about the anomaly to the Azure IoT Hub stream. By deploying the Azure Machine Learning model as an IoT Edge module, you can run the model directly on the edge devices, allowing for real-time anomaly detection without the need to send data to a cloud-based service. The model can analyze the streaming data locally on the devices and identify any anomalies present. Once an anomaly is detected, the IoT Edge module can add relevant information about the anomaly to the Azure IoT Hub stream, making it available for further processing or downstream actions.

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rveney

2 years ago

The solution described in the scenario does not meet the stated goal. Therefore, the answer is B. No. The solution suggests deploying an Azure Machine Learning model as an IoT Edge module, but it does not address the requirement of detecting anomalies in the data generated by the Azure IoT Edge devices and adding information about the anomalies to the Azure IoT Hub stream.

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