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Last Updated: Jul 28, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Modelling Standards, Governance & Quality | 15% | - Integration with architecture and governance - Naming conventions and standards - Model documentation and maintenance - Model validation and review - Data quality considerations in modelling |
| Conceptual Data Modelling | 20% | - Normalization principles - Conceptual schema design - Business rules and constraints - Entity types, attributes, relationships |
| Logical Data Modelling | 25% | - Transformation from conceptual to logical - Data types and domains - Keys, constraints, indexes - Normalization and denormalization - Relationship implementation |
| Physical Data Modelling & Design | 20% | - Partitioning and clustering - Performance optimization - Mapping logical to physical structures - Storage and indexing strategies - Database-specific design |
| Data Modelling Fundamentals | 20% | - DMBOK2 framework alignment - Roles and responsibilities - Concepts, principles, and terminology - Purpose and value of data modelling |
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