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Microsoft MB-260 exam is a part of the Microsoft Certified: Dynamics 365 Customer Insights Functional Consultant Associate certification track. Microsoft Customer Data Platform Specialist certification is designed to validate the skills and knowledge of professionals who work with Dynamics 365 Customer Insights. By passing MB-260 exam, candidates can demonstrate their expertise in designing and implementing customer data solutions using Microsoft Dynamics 365 Customer Insights, which can help them advance their careers in customer data management.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/mb-260
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The MB-260 exam covers a wide range of topics, including customer data management, segmentation, and insights, data integration and processing, and reporting and analysis. Candidates will be tested on their ability to design and implement customer data integration strategies, identify and analyze customer segments, and create and manage customer profiles. Additionally, they will need to demonstrate their knowledge of data governance and security best practices, as well as their ability to create and share insights with internal stakeholders.
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Microsoft MB-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Create Customer Profiles by Unifying Data | 35-40% | - Select source fields for unification - Define matching and deduplication rules - Configure unified fields, clusters, and IDs |
| Describe Dynamics 365 Customer Insights – Data | 5-10% | - Describe core Customer Insights - Data capabilities and components - Support for Microsoft Fabric and real-time ingestion support - Differences between individual and business account profiles |
| Configure Measures and Segments | 15-20% | - Create and manage measures - Build and manage segments using insights and predictions |
| Manage Customer Insights – Data | 5-10% | - Manage system updates and security - Create and configure environments |
| Implement AI Predictions | 5-10% | - Configure integrated predictive models - Evaluate churn, recommendation, and lifetime value models |
| Configure Third-Party Connections | 5-10% | - Configure data exports and integration with external systems |
| Ingest Data | 10-15% | - Connect to Microsoft Dataverse and Azure Data Lake Storage - Transform and ingest data using Power Query - Configure incremental and real-time ingestion |
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