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The targeted audience for the Microsoft MB-260 Exam is the IT administrators who have responsibility for deploying and supporting Microsoft Exchange Server 2007, and Microsoft SharePoint Server 2007. They are the people who install and configure the software and services and are responsible for maintaining and managing the data and information stored in the various Microsoft products. MB-260 Dumps recommend those individuals who want to work in the area of Customer Experience Management and are working in the area of Customer Experience Management and Dynamics 365. They are the individuals who have the responsibility for designing and implementing solutions that improve the overall experience of customers. The candidate may also be the individuals who have job titles like solution architect, data analyst, or solution designer.
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This section contains the info about the exam structure, time, passing score, etc of the Microsoft MB-260 Certification Exam
The info about the exam structure, format, languages is discussed in detail, in the MB-260 Dumps. Overview of that info is given as follows:
Number of Questions: 40-60
The passing score: 70%
Exam type: Multiple Choice
Languages: English
Time Duration: 60 minutes
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/mb-260
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Microsoft MB-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create Customer Profiles by Unifying Data | 35-40% | - Configure unified fields, clusters, and IDs - Select source fields for unification - Define matching and deduplication rules |
| Topic 2: Describe Dynamics 365 Customer Insights – Data | 5-10% | - Describe core Customer Insights - Data capabilities and components - Differences between individual and business account profiles - Support for Microsoft Fabric and real-time ingestion support |
| Topic 3: Ingest Data | 10-15% | - Transform and ingest data using Power Query - Configure incremental and real-time ingestion - Connect to Microsoft Dataverse and Azure Data Lake Storage |
| Topic 4: Configure Measures and Segments | 15-20% | - Build and manage segments using insights and predictions - Create and manage measures |
| Topic 5: Configure Third-Party Connections | 5-10% | - Configure data exports and integration with external systems |
| Topic 6: Manage Customer Insights – Data | 5-10% | - Create and configure environments - Manage system updates and security |
| Topic 7: Implement AI Predictions | 5-10% | - Configure integrated predictive models - Evaluate churn, recommendation, and lifetime value models |
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