The Most Important DAMA DMBOK Concepts to Master for CDMP Success

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A professional-level summary covering key definitions, frameworks, and exam-relevant points.

CDMP Exam Priority Concepts by Knowledge Area

Knowledge Area	Exam Weight	Top Priority Concepts
Data Governance	11%	Governance definition; data owner vs steward; RACI; governance bodies; operating models
Data Quality	11%	6 dimensions (CACTUV); DQ lifecycle; profiling; root cause analysis
Data Modeling	11%	Conceptual/logical/physical; normalisation; star schema; SCD types
Metadata Management	11%	3 metadata types; business glossary; data catalog; metadata standards
Master Data Management	10%	MDM styles; golden record; survivorship; MDM domains
Data Warehousing & BI	10%	Kimball vs Inmon; star schema; SCD types; ETL vs ELT
Data Architecture	6%	Enterprise data model; data architecture components; data flow diagrams
Data Security	6%	Data classification; access control; least privilege; PII; GDPR
Data Integration	6%	ETL; ELT; CDC; data virtualisation; integration patterns
Reference Data Management	6%	Reference data definition; reference data governance; code sets
Document & Content Management	6%	Unstructured data; content lifecycle; records management
Data Storage & Operations	6%	Database types; ACID properties; backup and recovery; performance

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Exactly which concepts appear in CDMP questions, how they are phrased, the most common wrong-answer traps, and the precise wording examiners use.

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