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MB-260 – Microsoft Customer Data Platform Specialist (beta)

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Showing 4–6 of 10 questions

Question 4 (Mixed Questions)

You are a Customer Data Platform Specialist. You are implementing a scheduled refresh in audience insights.

Which two statements are correct when describing scheduled refreshes? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Select all that apply, then click Submit answer.

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    To exclude a segment from a scheduled refresh, you must deactivate it before the scheduled refresh run.
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    Scheduled refresh is not available in trial environments and can only be configured for production instances.
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    The refresh schedule can be applied to selected data sources or specific entities within these data sources.
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    When you configure a refresh schedule to run daily, you must define the time zone and time when the refresh needs to run.
Question 5 (Mixed Questions)

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.

Select all that apply, then click Submit answer.

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    There should be at least two to three transactions per customer ID, preferably across multiple dates.
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    There should be at least 100,000 unique customers to perform the CLV model.
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    There should be preferably two to three years of transactional data to predict CLV for one year.
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    The CLV model will not run if there is any missing data in the fields.
Question 6 (Mixed 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.

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 (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?

Select an option, then click Submit answer.

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    Yes
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    No