Practice Free MB-260 Exam Online Questions
You need to fix the problem with exports to Dynamics 365 Sales.
What should you do?
- A . Verify the schedule run setting for the export rs set to "on."
- B . Add the Dynamics 365 Sales Contact table to the profile unification process.
- C . Add a field for loyalty system email address in Dynamics 365 Sales.
- D . Verify the segment for export does not contain more than 100,000 members.
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?
- A . Yes
- B . No
B
Explanation:
Reference: https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query
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?
- A . Yes
- B . No
B
Explanation:
Reference: https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query
A company has Microsoft Dynamics 365 Customer Insights set up as the Customer Data Platform. The eCommerce application sends updates on customer purchases to Dynamics 365 Customer Insights through its real-time APIs. You configured eCommerce purchases to show on the customer activity timeline.
A marketing user reports that eCommerce purchases for customers seem to be disappearing from the customer activity timelines over time. The marketing user also notices that segments based on eCommerce purchases are not updating.
You need to explain why this is happening.
Which two explanations should you provide? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A . Real-time ingested activities will not update segments on the new activity directly.
- B . An additional API call is required to update a segment with real-time activity data.
- C . Real-time ingested activity updates disappear after four hours by default.
- D . Real-time ingested activity updates disappear after 30 days by default.
You are a Customer Data Platform Specialist. Your marketing team is in the process of mapping entities and attributes in the data unification process of audience insights. You are assisting them with completing this task.
Which two statements correctly describe how audience insights handles the mapping of semantic types for entity attributes? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A . Attributes that are automatically mapped to a semantic type cannot be remapped to a custom semantic type.
- B . Attributes must be mapped to the semantic type of ID in order to be used as a primary key for the entity.
- C . The ‘Define the data in the unmapped fields’ section shows attributes that are not automatically mapped to a semantic type.
- D . The ‘Review mapped fields’ section shows all attributes for which a semantic type is automatically identified.
A, D
Explanation:
Reference: https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/map-entities
The marketing team wants to invite cycling club customers to a new product launch webinar.
You need to ensure all necessary data is available to create a segment to target the appropriate customers.
What should you do?
- A . Enable data profiling for the attributes of the QubMember table.
- B . Edit the existing Azure Data Lake data source and add specific SurveyResponse attributes.
- C . Create a new Azure Data Lake data source and add the SurveyResponse table.
- D . Edit the existing Azure Data Lake data source and add the SurveyResponse table.
The marketing team wants to invite cycling club customers to a new product launch webinar.
You need to ensure all necessary data is available to create a segment to target the appropriate customers.
What should you do?
- A . Enable data profiling for the attributes of the QubMember table.
- B . Edit the existing Azure Data Lake data source and add specific SurveyResponse attributes.
- C . Create a new Azure Data Lake data source and add the SurveyResponse table.
- D . Edit the existing Azure Data Lake data source and add the SurveyResponse table.
A segment to find customers who frequently purchase a different type of product
You need to understand what attributes differ between these two groups of customers.
What can you configure Microsoft Dynamics 365 Customer Insights to do with a segment differentiator analysis? Each correct answer presents part of the solution. NOTE; Each correct selection is worth one point.
- A . Analyze predictions and enrichments.
- B . Analyze a segment compared to all customers.
- C . Analyze customer fields and measures.
- D . Ignore difference scores lower than a set threshold
You are implementing Dynamics 365 Customer Insights – Data as your company’s Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales. ©Commerce customers, and service management platform incidents.
In your first unification run. you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts. You need to ensure that unmatched eCommerce customers are also added as a profile in Customer Insights – Data
Solution: Make eCommerce customers the primary table in the match step.
Does this meet the goal?
- A . Yes
- B . No
You are implementing Dynamics 365 Customer Insights – Data as your company’s Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales. ©Commerce customers, and service management platform incidents.
In your first unification run. you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts. You need to ensure that unmatched eCommerce customers are also added as a profile in Customer Insights – Data
Solution: Make eCommerce customers the primary table in the match step.
Does this meet the goal?
- A . Yes
- B . No