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Microsoft DP-100 Exam - 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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Pete
3 months ago
Nope, Join Data won't meet the goal; it’s for merging on keys.
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Kristal
3 months ago
Wait, can it really handle different column types?
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Douglass
3 months ago
Totally agree, that’s the right approach!
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Ora
3 months ago
I thought you needed to use Union for this.
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Jacquelyne
4 months ago
The Join Data component combines datasets, so it should work!
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Britt
4 months ago
I feel like the solution doesn't meet the goal because we need to ensure all rows are included, which sounds more like a union operation.
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Scarlet
4 months ago
I'm a bit unsure if Join Data will work here since it usually combines based on keys, not just stacking rows.
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Nieves
4 months ago
I remember practicing a similar question where we had to merge datasets, and I think we used the Union Data component for that.
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Ahmed
5 months ago
I think using the Join Data component might not be the right choice if we want to combine all rows from both datasets.
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Denny
5 months ago
I'm a bit confused about the requirement to have the same columns and header row as the input datasets. I'll need to review the details carefully before deciding on the right approach.
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Jestine
5 months ago
The solution seems logical to me. Combining the two datasets using the Join Data component should give me the desired result.
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Allene
5 months ago
Hmm, I'm not sure if the Join Data component is the best approach here. I'll need to double-check the requirements to make sure I understand the goal correctly.
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Arlyne
5 months ago
This looks straightforward. I think the Join Data component is the right tool to combine the two datasets as requested.
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Candida
11 months ago
I agree with Dexter, the Join Data component is the best option for this scenario.
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Dexter
11 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
11 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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Carisa
9 months ago
That's right! It's the perfect solution to meet the goal of creating a dataset with all the required information.
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Beckie
9 months ago
A) Yes
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Rikki
9 months ago
Great choice! The Join Data component will combine all the columns and rows from both datasets.
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Lucy
9 months ago
A) Yes
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Leanora
9 months ago
A) Yes
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Gilberto
10 months ago
B) No
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Louis
10 months ago
A) Yes
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Jackie
11 months ago
I disagree, I don't think the Join Data component is the right choice.
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Mindy
12 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
11 months ago
User3: A) Yes
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Sylvie
11 months ago
User2: B) No
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Christiane
11 months ago
User1: A) Yes
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Dexter
12 months ago
I think the solution meets the goal.
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Lynette
12 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
11 months ago
B) No
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Heike
11 months ago
Great! The Join Data component will combine the datasets perfectly.
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Rodolfo
11 months ago
A) Yes
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Karan
12 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
11 months ago
A) Yes
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Tom
12 months ago
The Join Data component is the right choice for combining datasets.
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Laine
12 months ago
A) Yes
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