Microsoft Exam DP-100 Topic 8 Question 98 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 98
Topic #: 8

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

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You use Azure Machine Learning designer to load the following datasets into an experiment:

You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.

Solution: Use the Apply Transformation module.

Does the solution meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: B

by Alpha at Mar 18, 2024, 07:06 PM

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Gayla

8 months ago

So, we all agree that the solution using Apply Transformation module is the way to go?

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Frederick

8 months ago

I don't think duplicate rows would be a problem, the Apply Transformation module should merge them correctly

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Lon

8 months ago

I'm not sure, but I think the Apply Transformation module can handle duplicate rows

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Terrilyn

8 months ago

But what if there are duplicate rows in the input datasets, would that cause any issues?

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Gayla

9 months ago

I agree, using Apply Transformation module sounds like the right approach

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Lon

9 months ago

I think the solution meets the goal

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Vilma

10 months ago

Yup, the solution looks good to me. Although, I wonder if there are any other ways to achieve the same result, just out of curiosity. Gotta keep those options open, you know?

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Charlene

10 months ago

Yeah, I think the solution is correct. As long as the input datasets have the same column structure, the Apply Transformation module should be able to merge them seamlessly.

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Cheryll

9 months ago

Absolutely, it's a straightforward process with the Apply Transformation module.

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Kerrie

9 months ago

I think it's a simple and efficient solution for this task.

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Annice

9 months ago

Great, that module is specifically designed for merging datasets.

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Zachary

9 months ago

I agree, as long as the columns and header rows match, it should work.

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Leigha

9 months ago

Yes, the solution is correct.

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Vincent

10 months ago

I agree, the solution seems reasonable. Combining the datasets with the same columns and headers is a common task in data preparation, and the Apply Transformation module is a handy tool for that.

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Giuseppe

10 months ago

Hmm, this question seems straightforward. The solution of using the Apply Transformation module to combine the two datasets seems like a logical approach to me.

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