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Microsoft AI-900 Exam - Topic 4 Question 93 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 93
Topic #: 4
[All AI-900 Questions]

What should you do to reduce the number of false positives produced by a machine learning classification model?

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Suggested Answer: A

by Carrol at Aug 12, 2025, 06:09 AM

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Donte
2 months ago
B might help, but it’s not the best solution.
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Cristal
3 months ago
Totally agree, lowering the threshold helps!
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Elenora
3 months ago
D is the way to go!
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Candra
3 months ago
A is a big no-no, don’t mix test and training data!
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Nicolette
3 months ago
Wait, isn't modifying the threshold risky?
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Rose
3 months ago
I vaguely remember that reducing false positives might involve changing the threshold, but I can't remember if it should be in favor of false positives or negatives.
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Kallie
4 months ago
I feel like including test data in training is a big no-no, but I wonder if increasing training iterations could help with false positives somehow.
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Yvonne
4 months ago
I think we practiced a question where modifying the threshold was key, but I can't recall if it was to favor false positives or negatives.
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Alex
4 months ago
I remember discussing how adjusting the threshold can impact false positives, but I'm not sure if increasing it would help reduce them.
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Carin
4 months ago
I'm feeling pretty confident about this one. The correct answer is to modify the threshold value in favor of false positives. That should help reduce the number of false positives produced by the model.
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Clarence
4 months ago
I'm a bit confused on this one. Increasing the training iterations seems like it might help, but I'm not sure if that's the best approach. I'll have to review the material again before deciding.
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Marla
5 months ago
Okay, I've got this. The key is to modify the threshold value, but in favor of false negatives, not false positives. That way, the model will be more conservative in its predictions and reduce the false positives.
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Ernie
5 months ago
Hmm, I think modifying the threshold value in favor of false positives is the way to go. That should help reduce the number of false positives, right?
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Lynsey
5 months ago
This is a tricky one. I'm not sure if I should increase the training iterations or modify the threshold value. I'll have to think it through carefully.
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