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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.
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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, remove rows that contain null values, and name the query. Select Next and your data is now ready for unification.
Does this meet the goal?
You need to configure the out-of-the-box sentiment analysis model to run on survey response data.
Which two fields contain data that must be mapped to model input parameters? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You are implementing Microsoft Dynamics 365 Customer Insights at a bank. After going through the unification process, you notice that customer profile cards appear nameless.
You need to reserve this problem and add the full name to the customer profile cards.
What should you do?
You want to address the IT operations teams goal.
What is the first step you should take?
You are a Customer Data Platform Specialist. The primary audience for your instance of audience insights is business accounts. You need to show audience insights data to Dynamics 365 Sales users without updating data in Dataverse.
Which Customer Card Add-in controls requires you to create semantic entity mapping before you can use it?
