Try Free Microsoft MB-260 Practice Exam Questions and Answers

1. You are a Customer Data Platform Specialist. You completed unification and are looking to create relevant segments for your business. You want to identify insights on fields that overlap between segments.

Which statement is correct about using segment overlap?

2. You are a Customer Data Platform Specialist. Your organization recently implemented audience insights. You need to create a measure using the ‘Average Transaction Value’ template to track the average spent by a customer.

As part of the process of creating the measure, you need to add data and map it to the data from the Unified Activity entity.

When you are setting up the measure, which two steps should you perform to complete this task? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

3. You are a Customer Data Platform Specialist. Your company implemented audience insights and Dynamics 365 Marketing. One of the data sources is the behavioral data from Dynamics 365 Marketing.

You are reviewing the segment requirements with the marketing team. The marketing team wants the segments to exclude people who already received a commercial email in the last seven days. The marketing team creates segments in audience insights and Dynamics 365 Marketing.

Which option is the fastest way to fulfill the requirement?

4. 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.

5. 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?

6. 1. Topic 1, Adventure Works



Case study

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.



To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.



At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.



To start the case study

To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. When you are ready to answer a question, click the Question button to return to the question.



General Overview

AdventureWorks Cycles is a bicycle retailer with a few locations in the Midwest region. The AdventureWorks Cycles business model supports both in store purchases as well as online orders. In addition to offering a wide variety of bicycles, the company sells clothing, performance nutrition supplements, bicycle parts as well as bicycle fitting and repair services. The customer base varies from professional cyclists, individual leisure riders to families. The business experienced unprecedented growth of over 2000% during the pandemic bringing a total number of customers to 10,000. The company decided to invest in Microsoft Dynamics 365 Customer Insights and Dynamics 365 Sales App to unify customer data and improve sales.



Data Source

AdventureWorks Cycles uses Customer Insights to connect to data from three different sources to generate a unified customer record. The data ingestion has been done for the initial data load.

There are three data sources containing customer profile data loaded to a dedicated storage account and container in the Azure Data Lake:

✑ Loyalty data source: This data source contains customer profile information from in-store purchases.

- loyalty.member.csv: srcid (primary key), firstname, lastname, middlename, fullname,

addressstreet, loyalty_email, city, zipcode, state, homephone, datecreated, timestamp

✑ Ecommerce Data source: This data source contains customer profile information from online purchases.

- ecom.member.csv: ecid (primary key), firstname, last name, fullname, email, homephone, streetaddress, city, zip, state, datecreated, timestamp

✑ Cycling Clubs Data Source: This data source contains customer profile information for members of Cycling clubs.

- cclubcust.csv: ccid (primary key) firstname, lastname, full_name, email, main phone, streetaddress1, city, zip_code, state, datecreated, datecreated, timestamp

The Loyalty data source contains the largest and most trusted dataset. It is considered the Primary Source followed by Ecommerce and Cycling Clubs Data Sources.

All three data sources share common customer demographics. Map, Match, and Merge (M3) rules within audience insights are applied accordingly to generate a unified customer record.



Additionally, there are three data sources that contain customer cellphone numbers for Loyalty, Ecommerce, and Cycling Club data sources that have been loaded to the Azure Data Lake but have not been ingested into audience insights.

✑ cellPhone_loyaly.csv: srcid (primary key), cellphone

✑ cellPhone_ec.csv: ecid (primary key), cellphone

✑ cellPhone_cc.csv: ccid (primary key), cellphone



Pain Points

The AdventureWorks Cycles leadership team identified several pain points that need to be addressed immediately to support current growth and ensure customer satisfaction.

✑ Lack of strategy for refreshing the customer data in the audience insights. There is a considerable effort needed to build pipelines to flow the incremental data updates into the Azure Data Lake so it can be ingested and processed in audience insights.

✑ Customer Service reps cannot search for customers efficiently in audience insights which affects the customer satisfaction. Also, they do not have valid cell phone numbers for customers since it is not part of the profile.

✑ The Sales team uses the Dynamics 365 Sales app but are not able to use segments generated in audience insights to generate marketing lists.

✑ Marketing campaigns often sound redundant and inefficient as the same

messaging is being sent to multiple members of the same household.

✑ The Marketing team cannot create fully personalized communications due to missing Full Name in the unified customer record.

✑ The test team is complaining that they do not have a dedicated UAT environment where they can test features before they are deployed to production.



Project Goals

✑ Create a strategy to implement incremental data refresh in prod audience insights that reads data from Azure Data Lake Gen 2. In parallel configure incremental refresh in one of the non-production audience insights where all the data sources are available, loaded from Azure SQL database, through Power Query to audience insights instance. This will allow some testing of the incremental refresh functionality to be completed while the long-term strategy is being finalized.

✑ Implement necessary changes to address the remaining pain points identified during the Leadership Team meeting.



Detailed Requirements

Pain Points

✑ Configuring incremental refreshes for all customer data profiles as follows:

- Incremental data refresh should be configured for member tables only

- Timestamp data and time field should be used by the system to check when the record was last updated

- All three tables should be refreshed every two days

✑ Adding additional data sources and search fields to audience insights

- Ingesting Cell phone data- the requirement is to keep the name of the date sources aligned with the design document. See section 1 for more details.

- Furthermore, to get a quick snapshot of the quality of data, data profiling should be enabled for the phone fields only

- The following fields from the unified customer record should be added to index: Last Name, Full Name, Email, Cell Phone, Street Address, DOB

✑ Ability to use segments from the audience insights to generate marketing lists

- The Sales team needs to generate a marketing campaign based on segment of customers who have a Loyalty email. (loyalty.email)

✑ Ability to group customer profiles into a household cluster for purpose of generating targeted marketing communication

- A household cluster is defined as customers who share Last Name, Street Address, City, Zip Code and State

✑ Adding Full Name field to the unified customer record

- Full Name is a merged field with the following merging policy

a. loyalty.member.fullname

b. ecom.member.fullname

c. cclubcust.csv.full_name

✑ Creating a sandbox environment that mirrors the current development environment

- Create a sandbox environment called UAT1 and copy configurations from env. “DEV1”. a. Note: there is also an exiting environment called “Dev” and it is not configured correctly and should not be copied



DRAG DROP

You are a Customer Data Platform Specialist. You want to add data sources that connect to data in the organization’s Azure Data Lake. You need to enable data profiling for the entity within the data source while creating it.

Which three 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.

7. You are a Customer Data Platform Specialist. You successfully installed the Customer Card Add-in and the required add-in control in Dynamics 365 Sales app. You need to show customer enrichment data from audience insights in the Dynamics 365 Sales application.

Which two statements must be true for you to show the required data on a Customer Card Add-in control? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

8. You are a Customer Data Platform Specialist. You completed all the steps in the match phase of the data unification process in the audience insights. You need to review and validate your match results.

Which three metrics are available for you to validate the results? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

9. DRAG DROP

You are a Customer Data Platform Specialist. You are asked to create a household cluster to group profiles that share a set of demographic data points.

Which three actions should you perform in sequence to configure a household cluster? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

10. You are a Customer Data Platform Specialist. Audience insights users state that they are not able to quickly find details on specific customers while searching customer profiles. You explain the index and search capabilities within audience insights.

Which two statements are correct about configuring and using search and filter index capabilities? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

11. 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.

12. 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.

13. You are a Customer Data Platform Specialist. Your organization is using Power Query when connecting to Data Sources in audience insights. You need to load eCommerce Contacts to audience insights.

Which statement about loading data to audience insights using Power Query is correct?