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Microsoft Exam MB-260 Topic 1 Question 43 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 43
Topic #: 1
[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:

Oliva
15 days ago
This is a textbook solution. Just hope the data in that CSV file isn't too messy, or they might need to do a little more work before unification.
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Carline
2 days ago
User 1: Yes
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Marshall
20 days ago
Haha, I bet the person who wrote this question has seen some crazy data files in their time. Merging columns for a full name and address sounds like a classic data cleanup task.
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Eugene
24 days ago
I agree, this solution looks good. Handling the null values and cleaning the data upfront will make the unification process much smoother.
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Yan
5 days ago
A) Yes
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Abel
11 days ago
Yes
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Valentin
18 days ago
Yes
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Gabriele
1 months ago
I'm not sure, I think there might be a better way to clean and transform the data.
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Laura
1 months ago
I agree with Dannette, defining column types and merging columns should clean and transform the data.
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Dannette
1 months ago
I think the solution meets the goal.
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Leslie
2 months ago
Definitely yes! Defining the appropriate data types and creating derived columns are crucial steps in preparing the data for unification. This solution covers the key requirements.
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Irving
22 days ago
Absolutely, defining the appropriate field types and merging columns for full name and address are key steps in data preparation.
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Ben
25 days ago
Yes, this solution meets the goal by cleaning and transforming the data in Customer Insights - Data.
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Mammie
28 days ago
I agree, defining column types and creating derived columns are essential for data preparation.
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Jeffrey
1 months ago
Yes
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