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Microsoft Exam DP-100 Topic 1 Question 124 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 124
Topic #: 1
[All DP-100 Questions]

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

Dataset1

Dataset2

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 component.

Does the solution meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Lorean at Mar 21, 2025, 05:29 PM

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Candida
2 months ago
I agree with Dexter, the Join Data component is the best option for this scenario.
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Dexter
2 months ago
But the Join Data component combines rows from multiple datasets based on a common column, so it should work.
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Stephaine
2 months ago
Using the Join Data component is a smooth move. It'll make sure the new dataset has all the necessary info from the original ones.
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Leanora
2 days ago
A) Yes
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Gilberto
12 days ago
B) No
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Louis
1 months ago
A) Yes
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Jackie
2 months ago
I disagree, I don't think the Join Data component is the right choice.
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Mindy
2 months ago
Haha, the Join Data component is like the duct tape of data science - it fixes everything! Definitely the way to go here.
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Roxane
1 months ago
User3: A) Yes
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Sylvie
1 months ago
User2: B) No
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Christiane
2 months ago
User1: A) Yes
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Dexter
2 months ago
I think the solution meets the goal.
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Lynette
2 months ago
Yep, the Join Data component is exactly what you need. It'll take care of merging the datasets seamlessly.
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Haley
2 months ago
B) No
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Heike
2 months ago
Great! The Join Data component will combine the datasets perfectly.
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Rodolfo
2 months ago
A) Yes
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Karan
2 months ago
The Join Data component seems like the right choice to combine the two datasets and maintain the same column structure. Looks good to me!
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Margo
2 months ago
A) Yes
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Tom
2 months ago
The Join Data component is the right choice for combining datasets.
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Laine
2 months ago
A) Yes
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