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.

After you answer a question in this section, you will NOT be able to return to it as a result, these questions will not appear in the review screen.

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

Limited Time Offer

25%

Off

Get Premium DP-100 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Gayla

5 months ago

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

upvoted 0 times

...

Frederick

5 months ago

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

upvoted 0 times

...

Lon

5 months ago

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

upvoted 0 times

...

Terrilyn

6 months ago

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

upvoted 0 times

...

Gayla

6 months ago

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

upvoted 0 times

...

Lon

6 months ago

I think the solution meets the goal

upvoted 0 times

...

Vilma

7 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?

upvoted 0 times

...

Charlene

7 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.

upvoted 0 times

Cheryll

6 months ago

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

upvoted 0 times

...

Kerrie

6 months ago

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

upvoted 0 times

...

Annice

6 months ago

Great, that module is specifically designed for merging datasets.

upvoted 0 times

...

Zachary

6 months ago

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

upvoted 0 times

...

Leigha

6 months ago

Yes, the solution is correct.

upvoted 0 times

...

Vincent

7 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.

upvoted 0 times

...

Giuseppe

7 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.

upvoted 0 times

...