Microsoft AI-900 Exam - Topic 5 Question 76 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 76
Topic #: 5

What is an example of a regression model in machine learning?

Adividing the student data in a dataset based on the age of the students and their educational achievements

Bidentifying subtypes of spam email by examining a large collection of emails that were flagged by users

Cpredicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house

Didentifying population counts of endangered animals by analyzing images

Show Suggested Answer

Suggested Answer: C

by Elinore at Sep 17, 2024, 07:14 PM

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An

4 months ago

C is spot on! House prices are all about those factors.

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Chaya

4 months ago

I thought regression was only for numerical data, not sure about D.

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Joesph

4 months ago

Wait, isn't A also a type of regression?

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Kizzy

4 months ago

Totally agree, C makes the most sense here.

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Raina

5 months ago

C is a classic example of regression!

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Mitzie

5 months ago

I’m a bit confused. Isn’t option D more related to image recognition? I feel like C is the best fit for a regression model.

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Fredric

5 months ago

Option A sounds like it’s more about classification than regression. I think I’ve seen similar questions before, and they usually focus on predicting values.

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Angelyn

5 months ago

I remember practicing with examples like predicting prices, but I’m not completely sure if that’s the only type of regression.

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Quinn

5 months ago

I think regression models are all about predicting continuous outcomes, right? So, I’m leaning towards option C.

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I think option C is the right answer here. Predicting a continuous target variable (house price) from input features is a textbook example of a regression model. The other options seem to be describing classification or clustering tasks rather than regression.

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Telma

5 months ago

Option C looks like the best fit for a regression model example. Predicting a continuous numerical value (house price) based on input features is a classic regression problem in machine learning. The other options seem more like classification tasks.

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Rasheeda

5 months ago

Hmm, I'm not totally sure about this one. I know regression models are used for predicting numerical outcomes, but I'm not confident I can identify the best example from these options. I'll have to think it through carefully.

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Ashleigh

5 months ago

This one seems pretty straightforward. I'd go with option C - predicting house sale prices based on historical data, size, and number of bedrooms. That's a classic example of a regression model in machine learning.

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Ronny

6 months ago

Hmm, I'm not too familiar with the CNCF and the projects it includes. I'll have to think this one through carefully.

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Marci

1 year ago

C is the clear winner here. Although I do wonder if the house prices in my neighborhood follow a linear model - seems more like a chaotic mess if you ask me!

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Chantay

1 year ago

Hmm, I was thinking B sounded good, but I guess that's more of a classification problem. Regression is where it's at for predicting numeric values.

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Anissa

1 year ago

C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house

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Tracey

1 year ago

A) dividing the student data in a dataset based on the age of the students and their educational achievements

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Carmen

1 year ago

I agree, C is the way to go. Regression is all about modeling numeric outcomes, not categorical ones like the other options.

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Gregoria

1 year ago

Yeah, that option seems more about classification rather than regression.

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Lindsay

1 year ago

A) dividing the student data in a dataset based on the age of the students and their educational achievements

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Van

1 year ago

That makes sense, regression models are great for predicting numerical values.

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Eugene

1 year ago

C) predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house

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Sylvia

1 year ago

I'm not sure, but I think it could also be A. Dividing student data based on age and achievements seems like regression too.

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Portia

1 year ago

Option C seems like the most relevant example of a regression model. Predicting a continuous variable like house price based on features like size and number of bedrooms is classic regression.

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