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Microsoft Exam AI-102 Topic 3 Question 51 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 51
Topic #: 3
[All AI-102 Questions]

You are developing a monitoring system that will analyze engine sensor data, such as rotation speed, angle, temperature, and pressure. The system must generate an alert in response to atypical values.

What should you include in the solution?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Darrin
11 days ago
Hmm, I'm not sure if Univariate Anomaly Detection (Option D) is the right fit here. Analyzing each sensor data point in isolation might miss the bigger picture.
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Emogene
1 days ago
A) Application Insights in Azure Monitor
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Sherita
15 days ago
I'd go with Option B. Metric alerts in Azure Monitor seem tailored for this use case, as they can trigger alerts based on predefined thresholds for the sensor data.
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Latrice
3 hours ago
I agree, Option B seems like the most suitable solution for monitoring engine sensor data.
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Yvonne
4 days ago
Option B) metric alerts in Azure Monitor is a good choice for this. It can help trigger alerts based on predefined thresholds for sensor data.
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Sophia
16 days ago
Option C looks like the best choice for this monitoring system. Multivariate Anomaly Detection can analyze multiple sensor data points to identify atypical patterns.
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Rashad
19 days ago
I think we should also consider using metric alerts in Azure Monitor to quickly respond to any anomalies.
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Polly
23 days ago
I agree with Serina, Multivariate Anomaly Detection can help us detect complex patterns in the sensor data.
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Serina
27 days ago
I think we should include Multivariate Anomaly Detection in the solution.
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