Q: 5
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 the appropriate
field types and name the query. Select Next and your data is now ready for unification.
Does this meet the goal?
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