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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.

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:

Oliva
2 months 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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Tonja
28 days ago
User 4: True, additional work might be needed if the data is messy
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Jina
1 months ago
User 3: Hopefully the data isn't too messy as you mentioned
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Mila
1 months ago
User 2: I agree, it seems like a straightforward solution
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Carline
1 months ago
User 1: Yes
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Marshall
2 months 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
2 months 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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Rosina
22 days ago
User 3: A) Yes
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Remedios
25 days ago
User 2: B) No
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Nelida
1 months ago
User 3: Yes
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Yan
1 months ago
A) Yes
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Abel
2 months ago
Yes
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Valentin
2 months ago
Yes
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Gabriele
2 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
2 months ago
I agree with Dannette, defining column types and merging columns should clean and transform the data.
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Dannette
2 months ago
I think the solution meets the goal.
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Leslie
3 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
2 months 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
2 months ago
Yes, this solution meets the goal by cleaning and transforming the data in Customer Insights - Data.
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Mammie
2 months ago
I agree, defining column types and creating derived columns are essential for data preparation.
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Jeffrey
2 months ago
Yes
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