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Microsoft Exam MB-260 Topic 13 Question 33 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 33
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.

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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:

Lemuel
5 months ago
I think the solution is sufficient, as long as the data is ready for unification in Dynamics 365 Customer Insights.
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Rolande
5 months ago
I'm not sure, there might be other steps needed to clean and transform the data properly.
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Cassi
5 months ago
Sounds good to me. Getting the data ready for unification is the name of the game, and this solution seems to hit all the right notes.
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Lyndia
5 months ago
Ha! Cleaning data, the true IT department's favorite pastime. This looks like a solid approach, though. Can't go wrong with merging columns and proper data types.
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Anabel
4 months ago
Agreed, merging columns and defining appropriate field types is key
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Coleen
4 months ago
Yes
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Gerry
5 months ago
I agree with Dorothea, defining column types and creating full name and full address columns sounds like the right approach.
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Latosha
5 months ago
Hmm, not sure if this is the only correct solution. Might be worth exploring other options as well, just to be sure we're getting the most out of the data.
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Jennifer
4 months ago
Vivan: Let's not rush into a decision, we should weigh our options carefully.
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Aron
4 months ago
Maybe there's a more efficient way to clean and transform the data.
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Vivan
4 months ago
Agreed, it's always good to consider different approaches.
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Craig
5 months ago
I think we should explore other options just to be safe.
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Amina
5 months ago
I agree, this solution seems to cover the key requirements. Naming the query is also a nice touch to make the process more organized.
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Roxanne
5 months ago
Definitely yes! Defining the column types and merging the relevant columns is a great way to clean and transform the data for unification.
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Noah
4 months ago
Agreed, that sounds like the right approach.
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Luke
5 months ago
Yes
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Dorothea
6 months ago
I think the solution meets the goal.
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