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Microsoft AI-102 Exam - Topic 12 Question 43 Discussion

You are developing a system that will monitor temperature data from a data stream. The system must generate an alert in response to atypical values. The solution must minimize development effort.What should you include in the solution?
C) metric alerts in Azure Monitor
A) Univariate Anomaly Detection
B) Azure Stream Analytics
D) Multivariate Anomaly Detection

Microsoft AI-102 Exam - Topic 12 Question 43 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 43
Topic #: 12
[All AI-102 Questions]

You are developing a system that will monitor temperature data from a data stream. The system must generate an alert in response to atypical values. The solution must minimize development effort.

What should you include in the solution?

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Suggested Answer: C

by Lavera at Mar 23, 2023, 12:31 PM

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Aja
7 months ago
Wait, can Azure Stream Analytics really handle all that?
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Colton
7 months ago
Multivariate seems overkill for just temp data, right?
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Graciela
7 months ago
Definitely metric alerts in Azure Monitor for quick alerts!
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Timothy
8 months ago
Univariate Anomaly Detection is simpler to implement.
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Samuel
8 months ago
I think Azure Stream Analytics is a solid choice!
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Karina
8 months ago
Multivariate anomaly detection sounds complex; I feel like it might not be necessary for just monitoring temperature.
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Stephanie
8 months ago
I practiced a similar question where metric alerts in Azure Monitor were highlighted as a way to handle alerts effectively.
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Taryn
8 months ago
I'm not entirely sure, but I think univariate anomaly detection might be simpler to implement for just temperature data.
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Eden
8 months ago
I remember we discussed Azure Stream Analytics in class; it seems like a good fit for processing data streams quickly.
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Keneth
8 months ago
This question seems a bit tricky. I'll need to apply my understanding of loss aversion bias to determine the correct answer.
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Wenona
8 months ago
Web caches seem like a logical choice, but I'm not 100% sure if that's the specific feature they're looking for. I'll have to review the material again to be certain.
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Stefany
8 months ago
I think I remember that you can change the NTP server from the CLI, but I'm not sure if it's the set ntp server command or something else.
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Trina
8 months ago
I feel like "contract first" is meant to support that coupling, but I have a nagging doubt about the wording. Is it really as straightforward as they say?
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Aileen
8 months ago
Okay, I think I've got this. The key is that we want to reduce the coupling between the service contract and the consumers, so that the consumers aren't tightly bound to the service implementation. And we also want to reduce the coupling between the service contract and the underlying logic, so that the service can be more easily changed or updated without impacting the consumers. So the answer is A - reduce, reduce.
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Deandrea
1 year ago
I'm just here for the free coffee and networking opportunities. Oh, and the chance to prove my superior intellect, of course.
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Carin
1 year ago
B) Azure Stream Analytics? More like 'Azure Stream of Consciousness' if you ask me.
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Amalia
1 year ago
A) Univariate Anomaly Detection? Sounds like a fancy way to say 'look at one number and freak out'.
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Glen
12 months ago
C) Metric alerts in Azure Monitor would be useful for triggering alerts based on predefined thresholds.
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Emerson
12 months ago
B) Azure Stream Analytics could help with processing the data stream efficiently.
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Hailey
12 months ago
A) Univariate Anomaly Detection? Sounds like a fancy way to say 'look at one number and freak out'.
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Kristin
12 months ago
C) Metric alerts in Azure Monitor can notify us of any unusual temperature readings.
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Bettina
1 year ago
B) Azure Stream Analytics could help with real-time data processing.
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Laurel
1 year ago
A) Univariate Anomaly Detection? Sounds like a fancy way to say 'look at one number and freak out'.
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Xenia
1 year ago
I prefer using Azure Stream Analytics for monitoring temperature data.
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Maricela
1 year ago
I agree with Sabina, Univariate Anomaly Detection would be a good choice to minimize development effort.
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Leonida
1 year ago
D) Multivariate Anomaly Detection sounds like the most robust approach, but I'm not sure it's the most minimalist solution.
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Arlen
1 year ago
B) Azure Stream Analytics
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Leah
1 year ago
A) Univariate Anomaly Detection
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Serina
1 year ago
C) metric alerts in Azure Monitor seems like the easiest and most efficient solution to me. It's got the least development effort.
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Sabina
1 year ago
I think we should include Univariate Anomaly Detection in the solution.
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