DAMA CDMP-RMD Deutsch Exam Details & Actual Exam Questions
- Exam Code/Number: CDMP-RMD Deutsch
- Exam Name/Title: Reference And Master Data Management Exam (CDMP-RMD Deutsch Version)
- Certification Provider: DAMA
- Corresponding Certification: DAMA CDMP
- Exam Questions: 100
- Updated On: Jul,13 2026
- Certification Level: Specialist
DAMA Reference And Master Data Management Exam (CDMP-RMD Deutsch Version) Exam Questions
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DAMA CDMP-RMD Deutsch Exam Overview:
| Certification Vendor: | DAMA International |
| Exam Name: | Reference And Master Data Management Exam |
| Exam Number: | CDMP-RMD |
| Available Languages: | English |
| Related Certifications: | CDMP Practitioner CDMP Master |
| Exam Price: | USD 311 (USD 300 exam + USD 11 proctor fee) |
| Exam Format: | Multiple-choice questions, Online proctored |
| Exam Duration: | 90 (110 for ESL candidates) |
| Passing Score: | 70% for Practitioner, 80% for Master |
| Real Exam Qty: | 100 |
| Certificate Validity Period: | 3 years from exam pass date |
| Sample Questions: | DAMA CDMP-RMD Deutsch Sample Questions |
| Exam Way: | Online proctored via Honorlock; in-person events available |
| Pre Condition: | Pass Data Management Fundamentals exam first; recommended 6+ months data management experience |
| Official Syllabus URL: | https://cdmp.info/product/reference-and-master-data-management-exam/ |
DAMA CDMP-RMD Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Fundamentals of Reference and Master Data | 15% | - Concepts of hierarchy, relationships, and lineage - Business value and strategic importance - Definitions and distinctions between reference data and master data |
| Topic 2: Architecture, Implementation, and Tools | 20% | - Common tools, platforms, and technologies - MDM/RDM architectural styles and deployment models - Integration, synchronization, and migration strategies |
| Topic 3: Reference Data Management (RDM) Lifecycle | 20% | - Maintenance, distribution, and retirement - Standardization, coding schemes, and versioning - Requirements gathering and classification |
| Topic 4: Governance, Stewardship, and Quality | 20% | - Policies, standards, compliance, and audit - Data quality dimensions and continuous improvement - Ownership, accountability, and stewardship roles |
| Topic 5: Master Data Management (MDM) Concepts | 25% | - Entity types: customer, product, supplier, location - Entity resolution, matching, and consolidation - Data modeling, golden record, and single source of truth |
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