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Microsoft Exam DP-100 Topic 1 Question 104 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 104
Topic #: 1
[All DP-100 Questions]

You are creating a machine learning model. You have a dataset that contains null rows.

You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.

Which parameter should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Candra
9 months ago
Join Data, huh? I hope it doesn't take too long to figure out all the settings. Azure ML designer can be a real maze sometimes.
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Keneth
8 months ago
I agree, the settings can be overwhelming at first, but it gets easier with practice.
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Emmanuel
8 months ago
It can be tricky, but once you get the hang of it, it's pretty powerful.
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Tresa
9 months ago
The Join Data module, huh? I guess that works, but it feels a bit like using a sledgehammer to crack a nut. Where's the creativity, people?
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Andra
8 months ago
I agree, there might be other more creative ways to combine the datasets.
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Ruthann
8 months ago
B) No
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Gussie
9 months ago
The Join Data module is the most efficient way to achieve the goal.
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Vanna
9 months ago
A) Yes
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Jacquelyne
9 months ago
Hmm, I'm not sure. Wouldn't it be easier to just use the Union Rows module? Seems like overkill to go through the join process.
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Maricela
9 months ago
Hmm, I'm not sure. Wouldn't it be easier to just use the Union Rows module? Seems like overkill to go through the join process.
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Karima
9 months ago
Using Join Data module is the correct solution for this scenario.
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Noble
9 months ago
B) No
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Gracia
9 months ago
A) Yes
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Steffanie
9 months ago
Union Rows module may not preserve the columns and header row structure.
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Anissa
9 months ago
Join Data module is more efficient for combining datasets.
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Linette
10 months ago
Yep, the solution checks out. Joining the datasets will give you a single table with all the rows from both inputs. Simple and effective.
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Lenna
10 months ago
The Join Data module seems like the right tool for this task. Combining datasets with matching columns is exactly what it's designed for.
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Sylvia
9 months ago
Agreed, it's perfect for combining datasets with matching columns.
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Johanna
9 months ago
I think the Join Data module is the way to go here.
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Rasheeda
9 months ago
The Join Data module is perfect for combining datasets with matching columns.
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Gearldine
9 months ago
A) Yes
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Tiara
9 months ago
A) Yes
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Fannie
9 months ago
That's correct. The Join Data module is perfect for combining datasets with matching columns.
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Son
10 months ago
A) Yes
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Major
10 months ago
I disagree, I don't think the Join Data module will work for this.
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Candida
10 months ago
I think the solution meets the goal.
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