Microsoft
MB-280 · Question #114
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…
The correct answer is B. No. Transform the first row to be used as headers. Define column types to be the 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. The…
Create Dynamics 365 Customer Insights - Data unified profiles from different data sources
Question
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: Transform the first row to be used as headers, and remove any special characters or spaces from header row. Remove rows with missing primary keys and name the query. Select Next and your data is now ready for unification. Does this meet the goal?
Options
- AYes
- BNo
How the community answered
(19 responses)- A16% (3)
- B84% (16)
Explanation
- Transform the first row to be used as headers. Define column types to be the 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. The proposed solution effectively prepares the data for unification in Dynamics 365 Customer Insights - Data. Here's how each step contributes to meeting the goal: Transform the first row to be used as headers: This step is necessary to define the column names, which is critical for accurate data interpretation. Define column types to be the appropriate field types: Specifying the correct data types for each column ensures that the data will be processed correctly during unification, maintaining data Create a full name and full address columns by merging the appropriate columns if they exist: This step enhances the dataset by consolidating relevant information into single columns, which can simplify data usage and improve data quality. Merging columns helps ensure that users can easily access essential information without navigating through multiple fields. Select Next: This indicates that the data transformation steps are completed and the dataset is ready for the unification process.
Topics
#data ingestion#CSV import#SharePoint data source#incremental refresh
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