Exam Details

  • Exam Code
    :MB-260
  • Exam Name
    :Microsoft Customer Data Platform Specialist
  • Certification
    :Specialty
  • Vendor
    :Microsoft
  • Total Questions
    :92 Q&As
  • Last Updated
    :

Microsoft Specialty MB-260 Questions & Answers

  • Question 11:

    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.

    A. You can add up to 25 custom fields to index and configure filtering for each one of the fields as an administrator.

    B. The only fields that are available for indexing are the ones that exist in the customer profile that you created during the data unification process.

    C. You can only add a filter for a specific field from the search and filter index page in audience insights.

    D. Users with a contributor role can add fields on the search and filter index page in audience insights and configure how many filtered records to show.

  • Question 12:

    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.

    After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

    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 transforming the first row to be used as headers, defining column types to be appropriate field types, and naming the query. Create a full name column if it does not exist by merging the columns for the first name

    and last name. Click "Next" and your data is now ready for unification.

    Does this meet the goal?

    A. Yes

    B. No

  • Question 13:

    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 14:

    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.

    A. Unique matched records

    B. Matched records only

    C. Matched and non-matched records

    D. Unique source records

    E. All source records

  • Question 15:

    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

  • Question 16:

    Your team developed and integrated a batch inferencing pipeline to audience insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to your unified profiles data. Your team is manually running the custom machine learning workflows.

    Which statement is correct about allowing your workflow to run automatically with every scheduled refresh?

    A. You can configure scheduled refreshes for audience insights from Azure ML where you developed the custom ML model.

    B. Your team can set up scheduled refreshes that allow your workflow to run automatically.

    C. Your team needs to manually trigger your custom machine learning workflows.

    D. Scheduled refreshes are not supported for custom machine learning models that are connected to audience insights.

  • Question 17:

    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 folders 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 removing any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Click "Next" and your data is now ready for unification.

    Does this meet the goal?

    A. Yes

    B. No

  • Question 18:

    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.

  • Question 19:

    You are a Customer Data Platform Specialist. Your company's chief marketing officer (CMO) learns about Dynamics 365 Customer Insights engagement insights capability. Your CMO wants to understand how engagement insights can be

    used to enhance audience insights.

    Which two statements describe the benefits of engagement insights? Each correct answer presents part of the solution.

    NOTE: Each correct selection is worth one point.

    A. It allows you to collect, measure, and understand customer behavior on your website.

    B. It allows you to create new customer profiles within engagement insights that can be exported to audience insights.

    C. It allows you to send new customer leads directly to a marketing automation platform.

    D. It allows you to link audience insights and engagement insights environments to enable bidirectional data flow.

  • Question 20:

    You are a Customer Data Platform Specialist. You already have a few existing production environments for audience insights. You were given a new production environment. Which two statements are correct about creating a new production environment when other environments already exist? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

    A. Data source credentials can be copied from an existing environment to a new production environment.

    B. You must log out of one environment to access new environments that are on the same tenant.

    C. When you create a new production environment, you can choose to copy the configuration from an existing environment.

    D. You can select the Environment control in the upper-right corner of the page to change environments.

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