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A professional-level summary covering key definitions, frameworks, and exam-relevant points.
CDMP Certification: Professional Overview
The Certified Data Management Professional (CDMP) is the premier certification issued by DAMA International, the global authority on data management standards. The credential validates a professional's mastery of the DAMA Data Management Body of Knowledge (DMBOK v2) — the definitive framework governing data management practice across industries worldwide.
Exam Structure and Scoring
| Parameter | Detail |
|---|---|
| Question format | 100 multiple-choice questions |
| Time allowed | 90 minutes |
| Knowledge areas tested | 14 DMBOK domains |
| Delivery | Online proctored or test centre |
| Associate level | 60–69% |
| Practitioner level | 70–79% |
| Master level | 80–89% |
| Elite / top performer | 90%+ |
The 14 DMBOK Knowledge Areas
The exam draws questions proportionally from 14 knowledge areas. The highest-weighted areas — Data Governance, Data Quality, Data Modeling, Metadata Management, and Master Data Management — each account for approximately 11% of the exam. Understanding the relative weighting is essential for efficient exam preparation.
Target Audience
The CDMP is appropriate for data analysts, data architects, data engineers, data governance professionals, business intelligence specialists, database administrators, and senior leaders with data strategy responsibilities. It is equally valuable for those entering the data profession and experienced practitioners seeking formal recognition of their expertise.
Career and Salary Impact
CDMP holders consistently command higher salaries than uncertified peers. The certification is recognised by major employers across financial services, healthcare, government, technology, and consulting sectors. It serves as a prerequisite for senior data governance and chief data officer roles in many organisations.
Preparation Timeline
Candidates with existing data experience typically require 3 to 4 months of structured study. Those new to the field should plan for 5 to 6 months. A score target of 90%+ requires comprehensive coverage of all 14 knowledge areas, with particular depth in the high-weighted domains.