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To pass the Microsoft MB-260 certification exam, candidates must have a solid understanding of the Dynamics 365 Customer Insights platform and be able to apply that knowledge to real-world scenarios. They must also be able to demonstrate their ability to use the platform to create value for their organizations by improving customer engagement and driving business growth.

Microsoft MB-260 Certification Exam is aimed at professionals who work with customer data platforms, such as marketing managers, customer service managers, sales managers, and IT professionals. MB-260 exam covers topics such as customer engagement architecture, customer engagement solutions, and customer data management. Microsoft Customer Data Platform Specialist certification exam tests the candidate's ability to design and implement customer engagement solutions that deliver personalized experiences to customers.

Microsoft MB-260 certification exam is designed for professionals who want to demonstrate their expertise in the Microsoft Customer Data Platform (CDP). Microsoft Customer Data Platform Specialist certification validates the skills and knowledge required to design, implement, and manage customer data solutions using Microsoft Dynamics 365 Customer Insights. MB-260 exam tests your ability to configure and customize the platform, integrate it with other systems, and use it to analyze customer data to drive business outcomes.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/mb-260

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Microsoft MB-260, also known as the Microsoft Customer Data Platform Specialist Certification Exam, is designed for professionals who have experience working with Microsoft Dynamics 365 Customer Insights. Microsoft Customer Data Platform Specialist certification exam is intended to validate the candidate's knowledge and skills in implementing and managing the customer data platform in Microsoft Dynamics 365.

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Microsoft MB-260 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ingest data into Customer Insights - Data10-15%- Connect to data sources
  • 1. Managed vs customer-owned data lake
    • 2. Dataverse, Azure, and Common Data Model
      - Transform and cleanse data
      • 1. Use Power Query for data shaping
        • 2. Configure incremental refreshes
          Topic 2: Design Dynamics 365 Customer Insights - Data solutions5-10%- Describe functionality and components
          • 1. Near real-time updates support
            • 2. Microsoft Fabric integration
              • 3. B2C vs B2B profile differences
                • 4. API and use cases overview
                  Topic 3: Administer Customer Insights - Data5-10%- Ensure data privacy and consent
                  - Manage environment settings
                  - Apply security and compliance policies
                  - Monitor data refreshes
                  Topic 4: Create customer profiles through data unification35-40%- Verify unified profiles
                  - Configure merge policies
                  - Define match rules
                  - Manage relationships and activities
                  Topic 5: Configure third-party connections and exports5-10%- Integrate with Dynamics 365 apps
                  - Set up data destinations
                  - Export data to external systems
                  Topic 6: Configure measures and segments15-20%- Define segment logic
                  - Apply filters and conditions
                  - Create and manage measures
                  Topic 7: Implement AI predictions5-10%- Integrate custom Azure ML models
                  - Configure built-in models
                  • 1. Product recommendations
                    • 2. Churn prediction
                      • 3. Sentiment analysis
                        • 4. Customer lifetime value

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