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Microsoft Exam MB-260 Topic 10 Question 37 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 37
Topic #: 10
[All MB-260 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.

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.

A company's IT department has a CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the CSV file is ingested into Dynamics 365 Customer Insights - Data.

The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.

You need to clean and transform the data in Customer Insights - Data to be ready for unification.

Solution: Define column types to be appropriate field types, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Select Next and your data is now ready for unification.

Does This meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Tuyet
3 months ago
Hold up, did they really just ask us to 'clean and transform the data'? That's like asking a chef to make a meal - there's a lot more to it than just following a single step!
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Catarina
2 months ago
I agree, there's definitely more to cleaning and transforming data than just defining column types and naming queries.
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Renea
2 months ago
No
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Leonora
2 months ago
Yes
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Kristine
3 months ago
I think the solution is sufficient, selecting Next should finalize the data for unification.
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Leonard
3 months ago
This seems like a solid solution. Gotta love when the answer is just as straightforward as the question. Now, if only all the questions were this easy!
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Beula
2 months ago
I wish all questions were this easy!
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Dominque
2 months ago
Definitely, it's nice when the answer is clear.
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Katie
2 months ago
Agreed, it does seem like a straightforward solution.
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Clay
2 months ago
Yes
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Bulah
3 months ago
I'm not sure, there might be other steps needed to clean the data properly.
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Ashleigh
3 months ago
Hmm, not too sure about this one. I think there might be more to it than just that. Shouldn't we also handle the rows with a high proportion of nulls?
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Cherrie
3 months ago
Yes, we should definitely do that.
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Roslyn
3 months ago
I think we should handle the rows with nulls.
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Alecia
4 months ago
I agree with Ines, defining column types and creating full name and full address columns should prepare the data for unification.
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Celia
4 months ago
Yep, that's the way to go! Defining the column types and combining the name and address columns is exactly what I would do. Looks good to me.
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Fernanda
3 months ago
Perfect, let's move forward with that solution.
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Dominga
3 months ago
Definitely, that should clean up the data nicely.
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Roy
3 months ago
Agreed, that seems like the right approach.
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Rosio
3 months ago
Yes
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Ines
4 months ago
I think the solution meets the goal.
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