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NEW QUESTION 52
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?

A. Contacts controlB. Customer details controlC. Enrichments controlD. Intelligence control

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-ins

 

NEW QUESTION 53
You are a Customer Data Platform Specialist. You are implementing a scheduled refresh in audience insights.
Which two statements are correct when describing scheduled refreshes? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Scheduled refresh is not available in trial environments and can only be configured for production instances.B. To exclude a segment from a scheduled refresh, you must deactivate it before the scheduled refresh run.C. When you configure a refresh schedule to run daily, you must define the time zone and time when the refresh needs to run.D. The refresh schedule can be applied to selected data sources or specific entities within these data sources.

Answer: B,C

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/segments?tabs=b2c
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system#schedule-tab

 

NEW QUESTION 54
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 (IT) has a CSV file stored on one of their Shared Documents folder within their SharePoint sites which they have ingested into audience insights. The file contains a row header with some special characters, columns of different types (quantities, prices, etc.), and some rows with a high proportion of nulls and missing primary keys. You have been asked to clean and transform the data in audience insights to be ready for unification.
What should you do?
Solution: Clean the data by transforming the first row to be used as headers and remove any special characters in header, defining column types to be appropriate field types, remove any rows with missing primary key, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Click "Next" and your data is now ready for unification.
Does this meet the goal?

A. NoB. Yes

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query

 

NEW QUESTION 55
You are a Customer Data Platform Specialist. Your company's information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their dat
a. You need to confirm if their research about data requirements is correct.
Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. There should be preferably two to three years of transactional data to predict CLV for one year.B. The CLV model will not run if there is any missing data in the fields.C. There should be at least 100.000 unique customers to perform the CLV model.D. There should be at least two to three transactions per customer ID. preferably across multiple dates.

Answer: A,D

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-value

 

NEW QUESTION 56
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