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Microsoft Exam DP-100 Topic 1 Question 118 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 118
Topic #: 1
[All DP-100 Questions]

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?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Blair
2 days ago
Sounds good to me. This is the kind of question where you just need to know your Azure Machine Learning tools. The Join Data module is a no-brainer.
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Zona
4 days ago
Yep, I'd say this is the correct answer. Can't think of a better way to merge the datasets without losing any data.
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Allene
5 days ago
But the Join Data module can combine rows from different datasets, so it should work in this case.
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Helene
9 days ago
I disagree, I don't think the Join Data module will work for this.
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Allene
14 days ago
I think the solution meets the goal.
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Leonardo
23 days ago
I hope the datasets are playing nicely together and not feuding like the Hatfields and McCoys. The Join Data module better be the peacekeeper here!
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Reyes
2 days ago
I hope so too!
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Latricia
8 days ago
A) Yes
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Luther
24 days ago
The only challenge I see is if the datasets have different column orders. But I'm sure the Join Data module can handle that.
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Tenesha
7 days ago
User 1: A) Yes
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