Microsoft Exam DP-100 Topic 1 Question 104 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 104
Topic #: 1

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 Join Data module.

Does the solution meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: B

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

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Candra

2 months ago

Join Data, huh? I hope it doesn't take too long to figure out all the settings. Azure ML designer can be a real maze sometimes.

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Keneth

22 days ago

I agree, the settings can be overwhelming at first, but it gets easier with practice.

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Emmanuel

25 days ago

It can be tricky, but once you get the hang of it, it's pretty powerful.

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Tresa

2 months ago

The Join Data module, huh? I guess that works, but it feels a bit like using a sledgehammer to crack a nut. Where's the creativity, people?

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Andra

1 months ago

I agree, there might be other more creative ways to combine the datasets.

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Ruthann

1 months ago

B) No

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Gussie

1 months ago

The Join Data module is the most efficient way to achieve the goal.

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Vanna

2 months ago

A) Yes

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Jacquelyne

2 months ago

Hmm, I'm not sure. Wouldn't it be easier to just use the Union Rows module? Seems like overkill to go through the join process.

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Maricela

1 months ago

Hmm, I'm not sure. Wouldn't it be easier to just use the Union Rows module? Seems like overkill to go through the join process.

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Karima

2 months ago

Using Join Data module is the correct solution for this scenario.

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Noble

2 months ago

B) No

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Gracia

2 months ago

A) Yes

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Steffanie

2 months ago

Union Rows module may not preserve the columns and header row structure.

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Anissa

2 months ago

Join Data module is more efficient for combining datasets.

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Linette

3 months ago

Yep, the solution checks out. Joining the datasets will give you a single table with all the rows from both inputs. Simple and effective.

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Lenna

3 months ago

The Join Data module seems like the right tool for this task. Combining datasets with matching columns is exactly what it's designed for.

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Sylvia

2 months ago

User 2: Agreed, it's perfect for combining datasets with matching columns.

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Johanna

2 months ago

User 1: I think the Join Data module is the way to go here.

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Rasheeda

2 months ago

The Join Data module is perfect for combining datasets with matching columns.

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Gearldine

2 months ago

A) Yes

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Tiara

2 months ago

A) Yes

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Fannie

2 months ago

That's correct. The Join Data module is perfect for combining datasets with matching columns.

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Son

3 months ago

A) Yes

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Major

3 months ago

I disagree, I don't think the Join Data module will work for this.

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Candida

3 months ago

I think the solution meets the goal.

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