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Learn about the certification Topics of SAP C_MDG_1909 Exam
- MDG Change Request process implementation
- Custom Objects and Solution Extensions
- Data replication and key mapping
- Domain Specific Capabilities
- Consolidation and Mass Processing
- MDG Project Execution
- Data Quality & Analytics
- Data Load and Import
- MDG Overview and Architecture
Learn about the salary of an SAP C_MDG_1909 certified professional?
The Average salary of different countries of SAP C_MDG_1909 Exam Certified professional
Australia AU25,000
India ₹15,5000
USA $24,000
Reference: https://learning.sap.com/certifications/sap-certified-associate-sap-master-data-governance
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SAP C_MDG_1909 Exam's Reference link
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SAP C_MDG_1909 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Quality and Analytics | 8%–12% | - Duplicate detection - Process analytics and reporting - Validation and check configuration |
| Topic 2: Data Load and Import | <8% | - Initial data load - Import and migration tools - Data conversion and validation |
| Topic 3: Consolidation and Mass Processing | >12% | - Standardization and validation - Matching and best record calculation - Process configuration |
| Topic 4: MDG Project Execution | <8% | - Activation and setup - Transport and customizing exchange - Landscape configuration |
| Topic 5: Data Replication and Key Mapping | 8%–12% | - Monitoring and troubleshooting - Data Replication Framework (DRF) - Key mapping configuration |
| Topic 6: Domain Specific Capabilities | >12% | - MDG for Financial Master Data - MDG for Supplier - MDG for Customer - MDG for Material |
| Topic 7: Custom Objects and Solution Extensions | 8%–12% | - UI configuration - BAdIs and enhancements - Custom data model creation |
| Topic 8: MDG Change Request Process Implementation | 8%–12% | - Rule-based validation and derivation - Change request type definition - Workflow configuration |
| Topic 9: MDG Overview and Architecture | >12% | - Architecture and technical components - MDG solution overview - Integration scenarios - Data modeling and activation |
