Microsoft DP-100 Exam - Topic 1 Question 96 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 96
Topic #: 1

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.

After you answer a question in this section, you will NOT be able to return to it as a result, these questions will not appear in the review screen.

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?

AYes

BNo

Show Suggested Answer

Suggested Answer: B

by Glory at Feb 10, 2024, 01:47 PM

Limited Time Offer

25%

Off

Get Premium DP-100 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Brinda

4 months ago

Agreed, merging is usually done with a different module.

upvoted 0 times

...

Lourdes

4 months ago

Wait, are we sure about that? Seems like it could work!

upvoted 0 times

...

Brett

4 months ago

Definitely a no, it won't combine datasets.

upvoted 0 times

...

Graham

4 months ago

I think it doesn't meet the goal.

upvoted 0 times

...

Justine

5 months ago

The Apply Transformation module is for modifying data, not merging.

upvoted 0 times

...

Yuonne

5 months ago

If I recall correctly, we need to ensure the datasets are combined properly, so I don't think this solution is correct.

upvoted 0 times

...

Shad

5 months ago

I'm a bit confused about this one. I feel like the Apply Transformation module might not actually combine the rows as needed.

upvoted 0 times

...

Shaun

5 months ago

I remember a practice question where we had to merge datasets, and I think we used a different module for that. Maybe the Concatenate module?

upvoted 0 times

...

Sarah

5 months ago

I think the Apply Transformation module is more for modifying data rather than combining datasets. I'm not sure if it will meet the goal.

upvoted 0 times

...

Jame

5 months ago

This is a good test of my Azure Machine Learning skills. I'll work through it methodically and make sure I'm meeting all the stated goals.

upvoted 0 times

...

Benedict

5 months ago

The solution provided seems straightforward enough. I'll double-check the module selection and make sure the output matches the expected format.

upvoted 0 times

...

Antonette

5 months ago

I'm a bit confused by the wording about "unique solutions" and not being able to go back. I'll need to make sure I understand the requirements fully before attempting an answer.

upvoted 0 times

...

Gracia

5 months ago

Okay, I think I've got this. The key is to use the Apply Transformation module to merge the two input datasets into a single output.

upvoted 0 times

...

Timothy

6 months ago

Hmm, this looks like a tricky one. I'll need to carefully read through the instructions and think through the steps to combine the datasets.

upvoted 0 times

...

Tresa

6 months ago

Okay, let's see. The key here is that we need to migrate from an on-premises SAP NetWeaver deployment to an Azure VM with a different SQL Server version. I think I'll need to research the pros and cons of each option to determine the best approach.

upvoted 0 times

...

Regenia

6 months ago

This seems like a pretty straightforward question. I'm pretty confident that the answer is D - deploying a DaemonSet with a logging agent on every node.

upvoted 0 times

...

Chantell

6 months ago

Not entirely sure, but I recall something about "sharing" in relation to how updates are distributed.

upvoted 0 times

...

Luann

6 months ago

I remember practicing this in our last review session, and I think the main goal is about understanding the external factors impacting a business.

upvoted 0 times

...

Scot

6 months ago

This is a tricky one. I'll need to think carefully about the different types of client representations and when materiality limits would apply.

upvoted 0 times

...

Tora

2 years ago

I believe there might be a more efficient way to create the desired dataset.

upvoted 0 times

...

Fausto

2 years ago

Why do you think that?

upvoted 0 times

...

Tora

2 years ago

I disagree, I think the solution doesn't meet the goal.

upvoted 0 times

...

Fausto

2 years ago

Because the Apply Transformation module is designed for such tasks.

upvoted 0 times

...

Fausto

2 years ago

Why do you think so?

upvoted 0 times

...

Fausto

2 years ago

I think the solution meets the goal.

upvoted 0 times

...

Bethanie

2 years ago

So, the correct answer is No?

upvoted 0 times

...

Rossana

2 years ago

I agree with User1, we need to use a different module for that task.

upvoted 0 times

...

Karma

2 years ago

Because the Apply Transformation module is not the right one for merging datasets.

upvoted 0 times

...

Maira

2 years ago

Why do you say that?

upvoted 0 times

...

Judy

2 years ago

I think the solution does not meet the goal.

upvoted 0 times

...

Christiane

2 years ago

I'm with you guys. This question seems a bit tricky, but I'm sure there's a better solution than the one provided. Let's think outside the box and see what else we can come up with.

upvoted 0 times

...

Marti

2 years ago

Hmm, the question mentions that the solution 'might meet the stated goals,' so I'm not convinced that the Apply Transformation module is the only correct answer. We'll need to carefully evaluate the requirements and explore other possibilities.

upvoted 0 times

...

Penney

2 years ago

I agree, the Apply Transformation module might not be the most efficient way to combine the datasets. We should explore other options like the Union module or even some data manipulation in Power Query.

upvoted 0 times

...

Emogene

2 years ago

The question seems straightforward, but I'm not sure if the solution provided is the best approach. I think we need to consider other options as well.

upvoted 0 times