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Exam AI-100 topic 4 question 18 discussion

Actual exam question from Microsoft's AI-100
Question #: 18
Topic #: 4
[All AI-100 Questions]

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 Azure Stream Analytics as an IoT Edge module.
Does this meet the goal?

  • A. Yes
  • B. No
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Suggested Answer: A 🗳️
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-anomaly-detection

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awron_durat
Highly Voted 4 years, 4 months ago
The answer provided is correct.
upvoted 5 times
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rveney
Most Recent 1 year, 10 months ago
A. Yes Azure Stream Analytics can be deployed as an IoT Edge module to detect anomalies in the data by using Azure Machine Learning models and add information about the anomaly to the Azure IoT Hub stream
upvoted 1 times
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dijaa
3 years, 8 months ago
correct
upvoted 2 times
...
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