Microsoft DP-100 Exam - Topic 1 Question 118 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 118
Topic #: 1

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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 Maryln at Nov 15, 2024, 09:42 PM

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Ricarda

3 months ago

Wait, can it really handle all rows without issues?

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Solange

3 months ago

This should work perfectly for merging rows!

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Jin

3 months ago

I’m not so sure, what if the datasets have different column types?

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Jodi

4 months ago

Totally agree, that’s the right approach!

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Jessenia

4 months ago

The Join Data module combines datasets, so it fits.

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Jose

4 months ago

I'm a bit confused; I thought Join Data could work if the datasets had the same structure, but now I'm questioning if it really meets the requirement.

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Gwen

4 months ago

I feel like we might need to use the Append Data module instead to achieve the goal of combining all rows from both datasets.

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Abel

4 months ago

I remember practicing a similar question where we had to merge datasets, but I’m not sure if Join Data is the best option here.

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Domonique

5 months ago

I think using the Join Data module might not be the right choice since it typically combines datasets based on matching keys, not just appending them.

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Stephaine

5 months ago

No problem, I've done this kind of thing before. The Join Data module is the right tool for the job. Just need to make sure I configure the settings correctly.

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Josephine

5 months ago

Okay, I've got this. The key is to make sure the column headers and data types match up between the two input datasets. As long as that's the case, the Join Data module should do the trick.

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