MB-260 Online Practice Questions and Answers

HOTSPOT

You are a Customer Data Platform Specialist. Your company has audience insights set up as their Customer Data Platform (CDP). The product owner entered a user story on your backlog to add data from the new loyalty solution into the

CDP. You defined the data source. You are ready to add the loyalty contacts to the data unification process.

Which new data entity area should you select in the Map phase of the data unification process?

Hot Area:

DRAG DROP

You are a Customer Data Platform Specialist. Your company uses audience insights as their Customer Data Platform.

The marketing team wants to know the total amount the customer has spent. The order lines are linked to a profile as part of the point-of-sale data source and through their loyalty ID.

Which five actions should you perform in sequence to create this insight? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

DRAG DROP

You are a Customer Data Platform Specialist. You are implementing an incremental refresh in audience insights. All the data is stored in an Azure SQL database and is ingested to audience insights using Power Query. You need to configure

an incremental refresh for data sources.

Which four actions should you perform in sequence to meet this requirement?

To answer,move the appropriate actions from the list of actions to the answer area and arrange them in the correct order

Select and Place:

You are a Customer Data Platform Specialist. The sales team asks you for an update on its requirement to be able to create a marketing list in Dynamics 365 Sales from audience insights data. Which validation is necessary to satisfy the sales team's requirement?

A. Validate ecom_email field is part of the Customer entity profile, and it is not merged with any other email from a different source.

B. Validate loyalty_email field is part of the unified customer entity profile, and it is not merged with any other email from a different source.

C. Validate email field is part of the Loyalty Member entity and can be used as a filter when building a segment for export to Dynamics 365 Sales

D. Validate all contacts ingested from Dynamics 365 Sales are included in the segment and the proper filter is applied.

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 removing special characters and spaces from header row, defining column types to be appropriate field types, remove rows with missing primary keys, and name the query. Click "Next" and your data is now ready for unification.

Does this meet the goal?

A. Yes

B. No

You are a Customer Data Platform Specialist. You created several customer segments. You want to identify differences between the segments that you created.

Which two statements are correct about using segment differentiations? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. The higher the difference score, the more the attributes differ between the two segments.

B. You can compare a segment with the rest of your unified profiles or with another segment.

C. You can only compare one segment with another segment.

D. The lower the difference score, the more the attributes differ between the two segments.

You are a Customer Data Platform Specialist. You are creating a new measure for business accounts (B2B) in audience insights.

One of the requirements for the new business-level measure is to add a dimension of the city for each business account.

What is needed to ensure that this measure is created as a business-level measure instead of a customer-level measure?

A. Use the default "CustomerlD* dimension when creating the measure.

B. Use the default "AccountID" dimension when creating the measure.

C. Remove the default "AccountlD" dimension when creating the measure.

D. Remove the default "CustomerlD* dimension when creating the measure.

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

You are a Customer Data Platform Specialist. You need to create relationships to connect entities so that they can be further used in defining segments and measures by the marketing team.

Which three relationship types are available in audience insights? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. Non-editable system relationships, created by the system as part of the data unification process

B. Non-editable system relationships, which are created automatically from ingesting data sources

C. Editable inherited relationships, created by the system as part of the data unification process

D. Editable custom relationships, created and configured by users

E. Non-editable inherited relationships, which are created automatically from ingesting data sources

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 removing any rows with nulls and deleting any leading zeros on the primary key. Click "Next" and your data is now ready for unification.

Does this meet the goal?

A. Yes

B. No