Exam AI-102 topic 1 question 17 discussion

Actual exam question from Microsoft's AI-102

Question #: 17
Topic #: 1

You plan to perform predictive maintenance.
You collect IoT sensor data from 100 industrial machines for a year. Each machine has 50 different sensors that generate data at one-minute intervals. In total, you have 5,000 time series datasets.
You need to identify unusual values in each time series to help predict machinery failures.
Which Azure service should you use?

A. Anomaly Detector
B. Cognitive Search
C. Form Recognizer
D. Custom Vision

Show Suggested Answer

Suggested Answer: A 🗳️

by satishk4u at May 3, 2022, 1:35 p.m.

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zellck

Highly Voted 1 year, 12 months ago

Selected Answer: A

A is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/overview Anomaly Detector is an AI service with a set of APIs, which enables you to monitor and detect anomalies in your time series data with little machine learning (ML) knowledge, either batch validation or real-time inference.

upvoted 8 times

zellck

1 year, 11 months ago

Gotten this in Jul 2023 exam.

upvoted 2 times

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syupwsh

Most Recent 4 months, 2 weeks ago

Selected Answer: A

Azure AI Anomaly Detector is CORRECT because it is specifically designed to detect anomalies in time series data. It uses advanced machine learning models to identify unexpected patterns or behaviors in data, which is essential for predictive maintenance. With the ability to analyze and detect irregularities across multiple time series datasets, this service is ideal for monitoring IoT sensor data to predict machinery failures.

upvoted 1 times

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Alan_CA

6 months, 4 weeks ago

Selected Answer: A

I don't think this question is still in the exam : Starting on the 20th of September, 2023 you won’t be able to create new Anomaly Detector resources. The Anomaly Detector service is being retired on the 1st of October, 2026.

upvoted 1 times

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