Microsoft Exam AI-102 Topic 3 Question 51 Discussion

Actual exam question for Microsoft's AI-102 exam

Question #: 51
Topic #: 3

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?

AApplication Insights in Azure Monitor

Bmetric alerts in Azure Monitor

CMultivariate Anomaly Detection

DUnivariate Anomaly Detection

Show Suggested Answer

Suggested Answer: A

by Chauncey at Oct 07, 2023, 11:19 PM

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Kris

1 months ago

If this was a car engine, I'd say Option B is the way to go. Gotta keep an eye on those metrics, like the engine's vital signs.

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Mica

2 days ago

User 2: Yeah, we need to set thresholds for those metrics to trigger alerts when something goes wrong.

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Cecily

18 days ago

User 1: I agree, Option B with metric alerts sounds like the best choice for monitoring engine sensor data.

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Nathalie

1 months ago

Option C all the way! Multivariate Anomaly Detection is like the Marvel team of anomaly detection - it can handle multiple superheroes (er, sensor data points) at once.

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Noemi

1 months ago

Hold up, why are we even considering Application Insights (Option A)? That's more for web apps, not industrial sensor monitoring.

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Elvera

14 days ago

B) metric alerts in Azure Monitor

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Chanel

18 days ago

A) Application Insights in Azure Monitor

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Darrin

2 months 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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Veronique

20 days ago

C) Multivariate Anomaly Detection

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Destiny

1 months ago

B) metric alerts in Azure Monitor

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Emogene

2 months ago

A) Application Insights in Azure Monitor

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Sherita

2 months 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

2 months ago

I agree, Option B seems like the most suitable solution for monitoring engine sensor data.

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Yvonne

2 months 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

2 months 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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