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Skills measured
- Design Customer Insights solutions (5-10%)
- Configure third-party connections (10-15%)
- Administer Customer Insights (5-10%)
- The English language version of this exam will be updated on July 26, 2022. Please download the exam skills outline below to see what’s changing.
- Implement AI predictions in Customer Insights (10-15%)
- Ingest data into Customer Insights (10-15%)
- Create customer profiles by unifying data (20-25%)
- Configure measures and segments (15-20%)
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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:
Exam type: Multiple Choice
Number of Questions: 40-60
Languages: English
Time Duration: 60 minutes
The passing score: 70%
Here is the info about the salary of the Microsoft MB-260 Certified professional
As discussed in the MB-260 Dumps, the salary of an expert varies from industry to industry. It also depends upon the skills, knowledge, geographical location, and experience of the individual. The average salary of the professionals who have experience in the area of Customer Experience Management and Dynamics 365 is as follows
In the United States: 65,000 USD
In the UK: 80,000 GBP
In India: 50,000 INR
In Singapore: 60,000 SGD
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: Configure measures and segments | 15-20% | - Define segment logic - Create and manage measures - Apply filters and conditions |
| Topic 2: Create customer profiles through data unification | 35-40% | - Configure merge policies - Define match rules - Verify unified profiles - Manage relationships and activities |
| Topic 3: Configure third-party connections and exports | 5-10% | - Export data to external systems - Integrate with Dynamics 365 apps - Set up data destinations |
| Topic 4: Implement AI predictions | 5-10% | - Integrate custom Azure ML models - Configure built-in models
|
| Topic 5: Administer Customer Insights - Data | 5-10% | - Monitor data refreshes - Apply security and compliance policies - Ensure data privacy and consent - Manage environment settings |
| Topic 6: Ingest data into Customer Insights - Data | 10-15% | - Connect to data sources
|
| Topic 7: Design Dynamics 365 Customer Insights - Data solutions | 5-10% | - Describe functionality and components
|






