Data Modelling and Design
The Data Modeling and Design exam is a specialty exam within the Certified Data Management Professional (CDMP®) certification program. It validates a candidate’s ability to analyze business requirements, design conceptual, logical, and physical data models, and apply DAMA-DMBOK best practices for building high-quality, reusable, and scalable data structures across enterprise systems.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Title: Specialist – Data Modelling and Design
- Certification Program: Certified Data Management Professional (CDMP®)
- Exam Duration: 90 minutes
- Passing Score:
- ≥70% for Practitioner level
- ≥80% for Master level
- Exam Type: Multiple choice
- Scored Content: All questions are scored
- Unscored Content: Not publicly specified by DAMA
Exam Details
- Question Types: Multiple choice
- Number of Questions: 100 questions
- Exam Focus: Practical and theoretical understanding of data modelling concepts
Exam Policies
- Proctoring: Online proctored exam (remote) through DAMA/CDMP exam platform
- Retake Policy: Retake allowed with full exam fee
- Language: English (ESL accommodations available)
Certification Validity and Renewal
- Validity: CDMP certification is valid for 3 years
- Renewal Options: Earn maintenance points through professional development or re-certification
Exam Fee
- Base Fee: USD $311
- Taxes: Country-specific VAT/GST may apply
- Example (India): GST extra as per government norms
Prerequisites
There are no formal prerequisites to attempt this specialist exam.
However:
- Data Management Fundamentals exam must be passed for CDMP certification levels
- Recommended knowledge of data modelling concepts and experience working with data structures
Exam Topics
- Based on DAMA DMBOK framework, key areas include:
- Data modelling concepts and principles
- Conceptual, logical and physical data models
- Normalization and denormalization
- Dimensional modelling (star & snowflake schemas)
- Data modelling standards and naming conventions
- Data model governance
- Industry data models
- Model management and version control
- Data modelling tools and techniques
- Business rules modelling
- Metadata integration
Intended Audience
- Ideal for professionals involved in data architecture and design:
- Data Modelers
- Data Architects
- Database Designers
- BI / Analytics Professionals
- Data Engineers
Career Impact
Jobs You Can Get:
- Data Architect
- Data Modeler
- Database Designer
- BI Architect
- Data Engineering Lead
Average Salary:
- Varies by country — U.S.: $85,000–$140,000 USD, India: ₹7,00,000–₹24,00,000 INR, United Kingdom: £45,000–£85,000 GBP, UAE: 160,000–320,000 AED per year.
Why It’s Valuable:
- Demonstrates strong expertise in data modelling best practices and validates professional capability to design scalable and business-aligned data architectures.
Exam Mode
- The exam is proctored and taken online through the official CDMP exam platform. DAMA lists CDMP exams as online multiple-choice exams, and CDMP lists Data Modelling and Design as a specialist exam with Standard and ESL options. It is not listed as a Pearson VUE exam.
Exam Booking Link
- Book your CDMP Data Modelling and Design exam via the official DAMA/CDMP exam portal. The official CDMP exam page lists Data Modelling and Design as a specialist exam priced at USD $311.
Once you pass the exam
- Receive your exam result after completing the online exam
- Use the Data Modelling and Design specialist exam toward CDMP Practitioner or Master certification
- Log in to your CDMP account
- Check your certification progress and badge status
- Download or share your official CDMP digital badge/certificate when issued
Offers
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Top Reasons to Choose
Data Modelling and Design
Builds Strong Data Modelling Expertise
This exam validates your ability to understand conceptual, logical, and physical models, helping organizations design reliable data structures aligned with business needs and data standards.
Valuable for Data Architecture Roles
Data modelling skills are essential for data architecture, analytics, BI, data warehousing, governance, metadata, and database design roles across modern data-driven organizations.
Supports CDMP Career Progression
Data Modelling and Design is a recognized CDMP specialist exam and can be used toward Practitioner or Master certification when combined with other required CDMP exams.
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FAQ
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Who should take the CDMP Data Modelling and Design exam?
The CDMP Data Modelling and Design exam is suitable for data modelers, data architects, database designers, business analysts, data engineers, metadata professionals, BI developers, and governance specialists. It is especially useful for professionals who design data structures, translate business requirements into models, and support enterprise data architecture.
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Is the CDMP Data Modelling and Design exam available through Pearson VUE?
No. The CDMP Data Modelling and Design exam is not listed as a Pearson VUE exam. DAMA and CDMP list the exam as an online CDMP specialist exam available through the official CDMP exam platform with Standard and ESL versions. Candidates should book only through official DAMA/CDMP channels.
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How difficult is the Data Modelling and Design exam?
The exam is considered moderate to advanced depending on your experience with data modelling, data architecture, database design, metadata, and DAMA-DMBOK concepts. Candidates with practical modelling experience will find it more manageable, while beginners should study conceptual, logical, and physical modelling carefully before attempting the exam.
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What resources can be used to prepare for the exam?
Candidates should use the DAMA-DMBOK guide, official CDMP exam information, DAMA study groups, recognized data modelling training, and practical modelling exercises. Useful preparation topics include entities, attributes, relationships, keys, normalization, modelling standards, metadata alignment, conceptual models, logical models, and physical database design principles.
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Is the CDMP Data Modelling and Design exam valuable in 2026?
Yes. Data modelling remains valuable because organizations need well-designed data structures for analytics, AI, reporting, governance, integration, and database systems. This specialist exam supports careers in data architecture, modelling, BI, data engineering, metadata management, and enterprise data management while contributing toward CDMP Practitioner or Master certification.
