Why Study with PlanetCert?
The Latest Questions
Practice questions and exam topics aligned with the current exam objectives.
Detailed Explanations
Go beyond the answer. Master the material with comprehensive learning and professional explanations for every concept.
AI-Powered Insights
Personalized preparation guidance that adapts to your performance and identifies weak spots automatically.
Exam Information
Official specifications published by CDMP
Exam Format
90 min
100
Multiple
Registration
$311 USD
Online Proctored or online proctoring
English
Validity
3 years
Annual membership and maintenance fee ($100 USD); Attest to continued data management participation
DMF Exam Topics and Domains
DMF is organized into 14 weighted domains.
1
Data Management Process
2%
Data Management Framework
Data Management PrinciplesData Management Activities
- Understand the data management framework
- Identify key data management processes
- Recognize data management roles and responsibilities
2
Data Ethics
2%
Ethical Data Handling
Data Ethics PrinciplesRegulatory Compliance
- Understand ethical principles in data management
- Identify ethical challenges and dilemmas
- Apply ethical frameworks to data decisions
3
Big Data
2%
Big Data and Data Science
Big Data CharacteristicsData Science Integration
- Understand big data concepts and challenges
- Identify big data technologies and tools
- Recognize data science applications
4
Data Architecture
6%
Enterprise Data Architecture
Architecture ComponentsArchitecture Design
- Define enterprise data architecture
- Design data architecture solutions
- Align architecture with business strategy
5
Data Modeling and Design
11%
Data Modeling Fundamentals
Conceptual Data ModelingLogical Data ModelingPhysical Data Modeling
- Create conceptual, logical, and physical data models
- Apply data modeling best practices
- Use data modeling tools and notations
Advanced Modeling Techniques
Dimensional ModelingNoSQL Data Modeling
- Design dimensional models for analytics
- Model data for NoSQL databases
- Choose appropriate modeling techniques
6
Data Storage and Operations
6%
Database Management
Database TechnologiesDatabase Operations
- Manage database environments
- Implement operational best practices
- Ensure data availability and reliability
7
Data Security
6%
Data Security Management
Security PrinciplesSecurity Controls
- Implement data security controls
- Manage data access and permissions
- Ensure regulatory compliance
8
Data Integration and Interoperability
6%
Data Integration
Integration PatternsIntegration Technologies
- Design data integration solutions
- Implement integration patterns
- Ensure data interoperability
9
Document and Content Management
6%
Content Management
Unstructured Data ManagementRecords Management
- Manage unstructured data
- Implement content management systems
- Ensure records compliance
10
Master and Reference Data Management
10%
Master Data Management
MDM ConceptsMDM Implementation
- Design MDM solutions
- Implement data matching and merging
- Manage master data lifecycle
Reference Data Management
Reference Data Concepts
- Manage reference data sets
- Implement reference data solutions
- Ensure reference data quality
11
Data Warehousing and Business Intelligence
10%
Data Warehousing
DW ArchitectureDW Implementation
- Design data warehouse architectures
- Implement ETL processes
- Optimize warehouse performance
Business Intelligence
BI ComponentsAnalytics
- Implement BI solutions
- Design effective dashboards
- Enable data-driven decision making
12
Metadata Management
11%
Metadata Fundamentals
Metadata TypesMetadata Architecture
- Classify types of metadata
- Design metadata architectures
- Implement metadata management
Metadata Solutions
Metadata ToolsMetadata Governance
- Implement metadata tools
- Establish metadata governance
- Enable metadata-driven solutions
13
Data Quality
11%
Data Quality Management
DQ DimensionsDQ Assessment
- Define data quality dimensions
- Assess data quality levels
- Identify quality issues
Data Quality Improvement
DQ TechniquesDQ Governance
- Implement quality improvement
- Establish quality governance
- Monitor and maintain quality
14
Data Governance
11%
Governance Framework
Governance ComponentsGovernance Processes
- Establish governance framework
- Define governance processes
- Implement governance structure
Data Stewardship
Stewardship RolesStewardship Activities
- Define stewardship roles
- Implement stewardship programs
- Measure stewardship effectiveness
How do I earn this certification?
Passing DMF earns the Certified Data Management Professional (CDMP) certification. It sits in the Data Management track.
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for DMF.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2024-10-01
- Announcement date: 2024-04-01
Updates
- Data Governance Tools Growing emphasis on automated governance and AI ethics in data management
- Cloud Data Platforms Increasing focus on cloud-native data management practices
- Data Quality Management Machine learning applications in data quality monitoring and improvement
- Metadata Management Evolution from passive to active metadata driving automation
Who should take this exam?
This exam is typically taken by Data managers and Data analysts.
- DAMA-DMBOK2 Revised Edition study
- Understanding of data management concepts
- Practical experience in data management