nerdexam
Microsoft

AI-100 · Question #120

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…

The correct answer is A. Yes. 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…

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Question

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?

Options

  • AYes
  • BNo

How the community answered

(41 responses)
  • A
    71% (29)
  • B
    29% (12)

Explanation

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. https://docs.microsoft.com/bs-latn-ba/azure/iot-edge/tutorial-deploy-machine-learning

Topics

#IoT Edge#anomaly detection#Azure Machine Learning#edge deployment

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