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

9 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

10 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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Wenona

12 days 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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Mickie

2 days ago

A) Replace with mean

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Lisbeth

19 days 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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Dino

14 hours ago

A) Replace with mean

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Helene

1 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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Tresa

28 days 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

30 days 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

1 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

2 months ago

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

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Desire

2 months ago

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

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