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  • Exam Name: Microsoft Customer Data Platform Specialist
  • Last Update: 04-Jun-2023
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MB-260 Questions and Answers

Question # 1

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 remove any special characters in header, defining column types to be appropriate field types, remove any rows with missing primary key, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Click “Next” and your data is now ready for unification.

Does this meet the goal?

A.

Yes

B.

No

Question # 2

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.

Question # 3

You are a Customer Data Platform Specialist. You are reviewing the system status. You notice that an insights refresh process shows a “skipped” status.

Which system process type should you review to find the step that is blocking the insights refresh from starting?

A.

Segments

B.

Search

C.

Enrichments

D.

Activities

Question # 4

You are a Customer Data Platform Specialist. You are configuring a workflow for a custom model using an Azure Machine Learning batch pipeline. Configuring this type of model requires different parameters than Machine Learning Studio (Classic) models.

Which two configuration parameters are required specifically for Azure Machine Learning batch pipelines? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Output data store path

B.

Output data store parameter name

C.

Web service that contains your model

D.

Entity name

Question # 5

You are a Customer Data Platform Specialist. The marketing team requested that customer cellphone numbers be added to the customer profile in audience insights. The customer cellphone numbers are stored in a separate table in the Azure Gen 2 Storage Account.

You decide to create the data source(s) needed in audience insights.

Which statements best describes the steps needed to ingest the required data to audience insights?

A.

In audience insights, under Data, select Data Sources, add data source and select Azure data lake storage as an import method, enter name as "Loyalty Cell Phone' and enter storage account name to authenticate. Repeat the steps for other tables.

B.

In audience insights, select Data Sources, add data source, enter "CellPhone" in the name field and click Next.

C.

In audience insights, add data source and select Azure data lake storage as an import method, enter "cellPhoneJoyalty1 as a data source name, and then enter the container name and method to authenticate. Repeat the same steps for other tables.

D.

In audience insights, add data source and select Microsoft Dataverse as an import method, enter "CellPhoneloyalty" as a data source name.

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