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Microsoft Exam MB-260 Topic 13 Question 35 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 35
Topic #: 13
[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:

Howard
3 months ago
I would go with Yes, as defining column types and creating full name and full address columns seem like essential steps for preparing the data.
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Alisha
3 months ago
I think the solution is on the right track, but we should also validate the data after cleaning and transforming it.
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Yolando
3 months ago
Well, what do you know? A solution that actually works. I'm impressed. It's like they read my mind!
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Krystina
2 months ago
Definitely! It's always a relief when a solution works smoothly.
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Dottie
2 months ago
I know, right? It's great when things actually work out as planned.
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Marisha
2 months ago
Yes
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Andra
3 months ago
I'm not sure, maybe we should also consider removing rows with a high proportion of nulls before unification.
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Benedict
3 months ago
Haha, this is a piece of cake! Cleaning up data is like my superpower. This solution is on point.
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Valentin
3 months ago
Definitely, this solution meets the goal.
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Dona
3 months ago
I agree, cleaning up data is easy with this method.
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Azzie
3 months ago
Absolutely, this solution is perfect!
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Gene
3 months ago
Yes
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Joni
3 months ago
I agree with Tamie, selecting appropriate field types and merging columns will prepare the data for unification.
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Stephen
3 months ago
Agreed, this solution covers all the key steps. I like how it's concise and to the point.
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Rhea
3 months ago
Definitely yes! Defining the column types and creating the derived columns is exactly what I would do to get the data ready for unification.
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Ahmad
3 months ago
Yes
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Yuriko
3 months ago
Yes
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Eileen
3 months ago
Yes
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Tamie
4 months ago
Yes, I think it meets the goal because defining column types and creating full name and full address columns will help clean and transform the data.
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