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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]

Your organization's marketing team is in the process of mapping tables and attributes in the data unification process of Dynamics 365 Customer Insights - Dat

a. They need your help with this task.

You need to explain to the marketing team how Customer Insights - Data handles the mapping of semantic types for table attributes.

Which two statements should you convey? Each correct answer presents part of the solution.

NOTE Each correct selection is worth one point.

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Oliva
6 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
5 months ago
User 4: True, additional work might be needed if the data is messy
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Jina
5 months ago
User 3: Hopefully the data isn't too messy as you mentioned
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Mila
5 months ago
User 2: I agree, it seems like a straightforward solution
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Carline
5 months ago
User 1: Yes
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Marshall
6 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
6 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
5 months ago
User 3: A) Yes
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Remedios
5 months ago
User 2: B) No
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Nelida
5 months ago
User 3: Yes
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Yan
5 months ago
A) Yes
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Abel
6 months ago
Yes
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Valentin
6 months ago
Yes
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Gabriele
6 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
6 months ago
I agree with Dannette, defining column types and merging columns should clean and transform the data.
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Dannette
6 months ago
I think the solution meets the goal.
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Leslie
7 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
6 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
6 months ago
Yes, this solution meets the goal by cleaning and transforming the data in Customer Insights - Data.
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Mammie
6 months ago
I agree, defining column types and creating derived columns are essential for data preparation.
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Jeffrey
6 months ago
Yes
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