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Microsoft MB-280 Exam - Topic 2 Question 31 Discussion

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: Transform the first row to be used as headers. 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?
B) No
A) Yes

Microsoft MB-280 Exam - Topic 2 Question 31 Discussion

Actual exam question for Microsoft's MB-280 exam
Question #: 31
Topic #: 2
[All MB-280 Questions]

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: Transform the first row to be used as headers. 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

This solution also includes transforming headers and defining column types, along with creating merged columns. However, it still does not remove rows with a high proportion of nulls. Addressing null values is important for data quality and ensuring accurate unification.

Without removing rows with many nulls, the data may still have integrity issues that could impact the unification process. As a result, this solution does not completely meet the goal.


by Kenneth at Jun 20, 2026, 12:52 AM

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