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Microsoft AI-900 Exam - Topic 6 Question 23 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 23
Topic #: 6
[All AI-900 Questions]

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?

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Nikita
4 months ago
I thought regression was involved too, but I guess not?
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Madelyn
4 months ago
Classification makes the most sense here, no doubt!
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Nan
4 months ago
Wait, are we sure it's not clustering? Seems a bit ambiguous.
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Simona
5 months ago
I agree, it's all about categorizing the images.
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My
5 months ago
This is definitely classification!
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Kristel
5 months ago
I was confused between classification and regression, but I think classification is right because we're identifying types rather than predicting a continuous value.
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Audry
5 months ago
This feels like a classification problem to me, especially since we have predefined categories for the haemorrhages.
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Lanie
5 months ago
I'm not entirely sure, but I remember something about clustering being used for grouping similar data. Could that apply here?
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Marg
5 months ago
I think this might be classification since we're categorizing the brain scans into specific types of haemorrhages.
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Kanisha
5 months ago
I'm a bit confused by the options here. DAS and local storage don't seem to fit the high IOPS and low latency requirements.
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Becky
5 months ago
Restricting internet access is important, but I want to make sure I don't accidentally block access to critical Microsoft services. I'll need to double-check the requirements and network settings to get this right.
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Vincent
5 months ago
Okay, I think I've got this. The key is to avoid adapter renumbering, so I'll go with option D.
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