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Microsoft Exam DP-100 Topic 2 Question 105 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 105
Topic #: 2
[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 Apply Transformation module.

Does the solution meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Cherilyn
3 months ago
Hmm, I see your point. Maybe it could work after all.
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Lenna
3 months ago
But the solution mentions creating a dataset with the same columns and header row from both input datasets.
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Cherilyn
3 months ago
I disagree, I don't think the Apply Transformation module will work.
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Tran
3 months ago
I'm picturing the datasets just magically merging together like some sort of data fusion. Totally nailing it!
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Brandon
2 months ago
B) No
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Lawrence
3 months ago
I can totally see that happening! Data fusion at its finest.
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Barb
3 months ago
A) Yes
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Lenna
3 months ago
I think the solution meets the goal.
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Jina
3 months ago
Looks good to me! Combining the datasets is exactly what we need to do in this case.
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Leah
3 months ago
Looks good to me! Combining the datasets is exactly what we need to do in this case.
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Sherita
3 months ago
A) Yes
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Margart
4 months ago
The solution seems to make sense. Using the Apply Transformation module to combine the datasets seems like a straightforward approach.
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Alisha
3 months ago
Great, it's good to know we're on the right track with our solution.
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Giovanna
3 months ago
That's correct. The Apply Transformation module is the right choice here.
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Shawnda
3 months ago
A) Yes
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