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Microsoft MB-260 Exam Questions
- Topic 1: Describe the process for consuming engagement insights data in audience insights/ Describe use cases for audience insights
- Topic 2: Differentiate between low, medium, high, exact, and custom precision methods/ Analyze Customer Insights data by using Azure Synapse Analytics
- Topic 3: Differentiate between system refreshes and data source refreshes/ Describe use cases for creating reports by using Customer Insights
- Topic 4: Select Customer Insights entities and attributes for matching/ Resolve data inconsistencies, unexpected or null values, and data quality issues
- Topic 5: Trigger refreshes by using Power Automate or the Customer Insights API/ Determine whether to use the managed data lake or an organization’s data lake
- Topic 6: Identify capabilities and limitations for scheduled refreshes/ Describe use cases for extending Customer Insights by using Microsoft Power Platform components
- Topic 7: Create activities by using a new or existing relationship/ Differentiate between audience insights and engagement insights
- Topic 8: Configure scheduled refreshes and on-demand refreshes/ Describe use cases for Customer Insights APIs
- Topic 9: Identify data sources that support incremental updates/ Configure and evaluate the customer churn models, including the transactional churn and subscription churn models
- Topic 10: describe prerequisites for using custom Azure Machine Learning models in Customer Insights/ Describe methods for creating segments, including blank segments
- Topic 11: Identify permissions required to implement the Customer Card Add-in for Dynamics 365 apps/ Create a segment from customer profiles, measures, or AI predictions
- Topic 12: Differentiate trial and production environments/ Configure and evaluate the product recommendation model
- Topic 13: Display Customer Insights data from within Dynamics 365 apps/ Transform, cleanse, and load data by using Power Query
Free Microsoft MB-260 Exam Actual Questions
Note: Premium Questions for MB-260 were last updated On 15-01-2025 (see below)
You are setting up a new Dynamics 365 Customer Insights - Data environment and want to connect a Microsoft Dataverse environment. While trying to connect, you receive the error This CDS organization is already attached to another Customer Insights - Data instance You need to resolve the issue and ensure you can connect the new Customer Insights - Data environment to the Dataverse.
Solution: In the Dataverse. go the Settings menu of Dynamics 365 Customer Insights - Journeys, select the Customer Insights connector and disconnect the connection.
Does this meet the goal?
Your data analytics team wants to create a custom machine learning model to predict whether a customer will purchase a particular product.
You need to explain what is required for integrating a custom model with Microsoft Dynamics 36S Customer Insights. Which two requirements should you tell them? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Your company uses Microsoft Dynamics 365 Customer Insights - Data as the Customer Data Platform.
The marketing team needs to know the total amount the customer has spent. The order lines are linked to a profile as part of the point-of-sale data source and through their loyalty ID.
Which function should you select in order to create this insight when creating a measure?
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.
A company's IT department has a CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the CSV file is ingested into Dynamics 365 Customer Insights - Data.
The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.
You need to clean and transform the data in Customer Insights - Data to be ready for unification.
Solution: Define column types to be appropriate field types, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Select Next and your data is now ready for unification.
Does This meet the goal?
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.
A company's IT department has a CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the CSV file is ingested into Dynamics 365 Customer Insights - Data.
The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.
You need to clean and transform the data in Customer Insights - Data to be ready for unification.
Solution: Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Select Next and your data is now ready for unification.
Does This meet the goal?
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