You are a Customer Data Platform Specialist. The marketing team wants to send personalized marketing emails to customers, but the customer FullName attribute has not been correctly populated as part of the profile unification process.
You update the Map process to include the loyalty.member.fullname, ecom.member.fullname, and cclubcust.member.full_name fields. Then, you map the fields to the Person.FullName semantic type. Audience insights automatically merges these fields into the FullName attribute on the Merge page.
What action should you perform to make sure the merged FullName field contains the most trusted data available?

• A. Edit the merged FullName field and combine fields by least recent based on timestamp in the source entity.
• B. Edit the merged FullName field and combine fields by most recent based on timestamp in the source entity.
• C. Edit the merged FullName field, combine fields by importance, and manually rank the source entities.
• D. Separate the fields in the merged FullName field, create a new field, and add attributes in priority order.

You are configuring a new Dynamics 365 Customer Insights - Data environment that is focused on business accounts. You have completed business account unification, and you are now setting up contact unification.
You need to configure a relationship between a contact table and an account table.
Which two values do you need to specify on the Relationships page? Each correct answer presents part of the solution.
MOTE: Each correct selection is worth one point.

• A. Foreign key column in the contact table
• B. Name of the child contact table
• C. Primary key column in the account table
• D. Name of the parent account table

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

You are configuring data unification for a new Microsoft Dynamics 365 Customer Insights implementation.
Individual consumers are the primary target audience.
You define several match rules that include address data and other personal identifiers. These match rules did not perform as well as expected in your first unification run.
You need to improve the match results before your marketing team starts using the system.
Which two data enrichments should you consider implementing to improve the match results? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. Azure Maps provided by Microsoft
• B. Enhanced addresses provided by Microsoft
• C. Identity provided by LiveRamp AbihTec
• D. Enhanced company data provided by Microsoft

You need to begin planning how to address the marketing team's requests for future enhancements.
If you implement the requested changes, what is the total number of connections that will be required in BYAE's Dynamics 365 Customer Insights environment?

• A. 2
• B. 4
• C. 3
• D. 5