Free Microsoft AI-900 Azure AI Fundamentals Actual Exam Questions - Question 13 Discussion
Question No. 13
A medical research project uses a large anonymized dataset of brain scan images that are categorized
into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage
types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?
into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage
types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?
Select one option, then reveal solution.
US
TG
Tom G.
2026-02-22
It’s C because the categories are known, so it’s definitely supervised classification.
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SB
Sam B.
2026-02-20
A/B? I ruled out regression (B) since this isn’t about predicting a number or continuous value. Clustering (A) is unsupervised, but here we have predefined categories, so that doesn’t fit either.
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MB
Marco B.
2026-02-10
C, since the task is to assign images into known categories, it’s classic classification.
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RO
Ryan O.
2026-01-24
Guessing C here too because the dataset is labeled and you're trying to assign each image to a specific category, so it's clearly classification, not regression or clustering.
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RO
Ryan O.
2026-01-19
It’s C. Classification fits since the data are labeled with brain haemorrhage types, so the model’s sorting images into categories. A is off because clustering is unsupervised, no labels.
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