An organization is using Microsoft Power Query when connecting to data sources in Microsoft Dynamics 365 Customer Insights. You need to load eCommerce Contacts to Dynamics 365 Customer Insights using Microsoft Power Query. Which is an appropriate action to take when using Microsoft Power Query to ingest data?
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.
You are a Customer Data Platform Specialist. Your company’s information technology department already ingested a CSV file with column names in the first row into audience insights. You are asked to clean and transform the data to get it ready for unification.
What can you do to satisfy the requirements?
Solution: Clean the data by changing columns with numbers to integer number format, which includes fields such as price, number of purchases, and postal code. You should convert primary key to integer number field if it contains only numbers. Click “Next” and your data is now ready for unification.
Does this meet the goal?
Your organization uses Microsoft Dynamics 365 Customer Service in its contact center.
You need to use the Customer Card Add-in to make customer profile data from Dynamics 365 Customer Insights available to contact center users. The organization wants you to follow Microsoft's best practices and recommendations.
Which three actions should you perform in sequence? To answer, move the three appropriate actions from the list of actions to the answer area. Arrange the three actions in the correct order.
Your company wants to create a segment to identify the customers who are more likely to purchase the three most-recommended products from the out-of-the-box product recommendations model.
Before defining this segment, you need to first configure and run the product recommendations model.
Which point should you consider when configuring the product recommendation model?
TESTED 16 May 2024
