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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: 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?
Correct Answer: B
* While transforming the first row to be used as headers and defining column types are necessary steps, the solution does not address removing rows with high proportions of nulls. Rows with significant null values can interfere with the quality of the unification process in Customer Insights - Data. * Therefore, this solution does not fully meet the goal as it does not handle data quality issues caused by null values.
