Microsoft Exam DP-100 Topic 1 Question 104 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 104
Topic #: 1

You are creating a machine learning model. You have a dataset that contains null rows.

You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.

Which parameter should you use?

AReplace with mean

BRemove entire column

CRemove entire row

DHot Deck

Show Suggested Answer

Suggested Answer: B

by Reita at Jun 01, 2024, 06:45 PM

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Tatum

29 days ago

If you ask me, the real question is, who's bringing the snacks to this machine learning party? I vote for option E: Replace with cookies.

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Johna

30 days ago

Hmm, I'm torn between B and C. Maybe I'll just flip a coin and see what happens. What could go wrong?

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Timmy

19 hours ago

C) Remove entire row

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Xochitl

3 days ago

B) Remove entire column

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Kasandra

5 days ago

A) Replace with mean

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Wenona

1 months ago

Option A, Replace with mean, is the way to go. After all, averages are the backbone of machine learning. Why bother with the rest of the options?

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Gail

6 days ago

D) Hot Deck

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Fernanda

12 days ago

C) Remove entire row

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Brandee

16 days ago

B) Remove entire column

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Mickie

21 days ago

A) Replace with mean

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Lisbeth

1 months ago

I'm leaning towards option D, Hot Deck. It sounds like a fun party trick, and I'm all about keeping my data spicy.

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Afton

5 days ago

B) Remove entire column

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Dino

20 days ago

A) Replace with mean

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Helene

2 months ago

Definitely go with option B, Remove entire column. That's the easiest way to handle missing data. Who needs those pesky null values anyway?

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Rebbeca

16 days ago

I still think option B, Remove entire column, is the most efficient way to handle missing data. It simplifies the dataset.

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Tresa

2 months ago

I prefer option C, Remove entire row, as it ensures that no incomplete data is used in the model.

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Rashad

2 months ago

I agree with option A, but option D, Hot Deck, could also be a good option depending on the dataset.

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Paris

2 months ago

I think option A, Replace with mean, would be a better choice. It helps to maintain the integrity of the dataset.

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Lenna

2 months ago

I think option D) Hot Deck could also be a good choice, depending on the dataset.

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Gilma

3 months ago

I disagree, I believe option B) Remove entire column would be more appropriate.

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Desire

3 months ago

I think we should use option A) Replace with mean.

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