New MB-260 Exam Questions Released [3-9-2022] Boost Your Confidence With MB-260 New Questions

New MB-260 Exam Questions Released [3-9-2022] Boost Your Confidence With MB-260 New Questions

New MB-260 exam questions help you get a quick boost to improve your confidence in passing MB-260 Microsoft Customer Data Platform Specialist (beta) certification exam. Microsoft MB-260 new exam questions of ITExamShop are great, which could be your valid preparation materials for passing Microsoft MB-260 exam successfully. Also, we will help you open new opportunities for your success in the IT market.

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1. You are a Customer Data Platform Specialist. Dynamics 365 Customer Insights (CI) users have complained that they are not able to quickly find customers using main demographic data points. You must ensure users are able to search customers using any of the available fields.

Which two statements define the actions that should be completed to satisfy this requirement? Each option represents a partial solution. NOTE: Each correct selection is worth one point.

2. 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?

3. Topic 2, Misc. Questions



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?

4. 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.



5. You are a Customer Data Platform Specialist. You need to create an additional audience insights environment based on the existing configuration in the development environment.

Which two statements are correct when creating an additional environment with limited amount of required configuration? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

6. You are a Customer Data Platform Specialist. Your company operates mainly in the business-to-business (B2B) space.

The chief marketing officer (CMO) asks you to implement audience insights and ensure that it can handle the company’s B2B scenarios and data.

Which statement is correct when considering audience insights for business accounts versus individual consumers?

7. 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?


 

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