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Microsoft DP-100 Exam - Topic 4 Question 119 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 119
Topic #: 4
[All DP-100 Questions]

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

Data set 1

Dataset 2

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 component.

Does the solution meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Marget at Dec 06, 2024, 06:31 AM

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Florinda
4 months ago
I thought Apply Transformation was for data cleaning, not merging!
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Blondell
4 months ago
Nope, you need a different component for that.
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Reed
4 months ago
Wait, are we sure about that? Seems like it could work.
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Aaron
5 months ago
Totally agree, it won't work for merging.
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Mila
5 months ago
The Apply Transformation component doesn't combine datasets.
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Mindy
5 months ago
From what I studied, the solution doesn't meet the goal. We need to use a component specifically for combining datasets, like Union.
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Lina
5 months ago
I'm a bit confused about this one. I feel like the Apply Transformation might not be the right choice, but I can't recall the exact component we should use.
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Junita
5 months ago
I remember practicing a similar question where we had to merge datasets. I think we used the Join Data component instead.
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Rosalind
6 months ago
I think the Apply Transformation component is more for modifying data rather than combining datasets. I'm not sure if it will achieve the goal.
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Filiberto
6 months ago
Looks good to me. The Apply Transformation component should be able to handle merging the two datasets into one. I'm confident this is the right approach.
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Mitzie
6 months ago
I'm a bit unsure about this one. Combining datasets can be tricky, so I want to make sure I understand the solution fully before answering.
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Jina
6 months ago
Okay, the key is to get the columns and headers aligned correctly. I'll need to double-check that the Apply Transformation step does that properly.
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Buck
6 months ago
Hmm, this looks straightforward. I think the Apply Transformation component should be able to combine the two datasets as required.
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Leonardo
1 year ago
The Apply Transformation component? Sounds like a real 'transformative' experience! I wonder if it can also juggle datasets and do card tricks.
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Ricki
1 year ago
I'm not sure, maybe we should try it out
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Kiera
1 year ago
I think it does meet the goal
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Ashlyn
1 year ago
No
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Staci
1 year ago
Yes
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Alyce
1 year ago
I don't know, that solution seems a bit too simple. There's got to be a catch somewhere. Maybe we're missing something important?
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Altha
1 year ago
User 3: Let's review the steps and see if there's a better way to achieve the goal.
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Toi
1 year ago
User 2: Maybe we should double-check if we're missing something important.
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Judy
1 year ago
User 1: I think the solution is too simple, there might be a catch.
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Erick
1 year ago
I agree with Ivette, the Apply Transformation component is the best option for this scenario.
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Ivette
1 year ago
But the Apply Transformation component can combine datasets with the same columns and header row.
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Werner
1 year ago
I disagree, I don't think the Apply Transformation component is the right choice.
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Catarina
1 year ago
Yep, the Apply Transformation component seems like the right tool for the job. It's a nice clean solution.
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Cristen
1 year ago
Yes, it's a simple and effective solution.
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Alyssa
1 year ago
I agree, the Apply Transformation component is the way to go.
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Geoffrey
1 year ago
B) No
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Ronald
1 year ago
A) Yes
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Glennis
1 year ago
The solution using the Apply Transformation component looks good to me. It should be able to create a dataset with the same columns and header row as the input datasets and contain all rows from both.
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Dortha
1 year ago
Yes, the Apply Transformation component should meet the goal.
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Desire
1 year ago
A
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Ivette
1 year ago
I think the solution meets the goal.
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