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C++ Institute EDMA-DCAM3 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Analytics Management | - Model governance, explainability, and transparency - Advanced analytics and AI/ML data requirements - Responsible data usage and analytics lifecycle |
| Data Management Operations, Risk & Control | - Data risk assessment and security controls - Data sovereignty and regulatory compliance - Operational workflows and data lifecycle management |
| Data Quality Management | - Data quality dimensions and business rules - Data supply chain and improvement lifecycle - Quality control and monitoring processes |
| Data Management Program & Funding | - Resource planning and funding management - Organizational structure and program governance - Stakeholder and change management - Performance measurement and benefit tracking |
| Architecture – Business, Data & Technology | - Data architecture, identification, taxonomies, business glossary - Integrated architecture framework - Technology architecture and integration |
| Data Strategy, Data Management Strategy & Business Case | - Stakeholder alignment and engagement - Long-term value and vision for data - Data and business objective alignment |
| Business Data Knowledge | - Data ownership and stewardship - Metadata management and data lineage - Business data classification and semantics |
| Data Governance & Data Management Program Governance | - Compliance, risk, and control management - Governance structures and policy framework - Maturity assessment and capability scoring |
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