DMF-1220 exam dumps

DAMA DMF-1220 Value Package

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  • Exam Code: DMF-1220
  • Exam Name: Data Management Fundamentals
  • No. of Questions: 725 Questions and Answers
  • Updated: Jul 30, 2026

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  • Total Questions: 725
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  • Total Questions: 725
  • Updated on: Jul 30, 2026
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  • Total Questions: 725
  • Updated on: Jul 30, 2026
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What is the salary of a DAMA DMF-1220 certified professional?

The Average salary of different countries for DAMA DMF-1220 Certified professional

  • India - INR 4680690 per year

  • United States - USD 60,000 per year

  • UK - Pounds 49771 per year

The DMF-1220 exam is suitable for individuals who are new to the field of data management or those who want to enhance their knowledge and skills in this area. DMF-1220 exam is also ideal for professionals who want to pursue a career in data management or advance their career in this field. DMF-1220 exam covers a range of topics, including the principles of data management, data modeling techniques, data quality management, metadata management, and data governance practices.

Reference: https://www.dama.org/cpages/cdmp-information

DAMA DMF-1220 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Management Fundamentals- Data Security
  • 1. Security frameworks and controls
  • 2. Data classification and handling
  • 3. Privacy regulations compliance
- Data Warehousing and Business Intelligence
  • 1. BI and analytics fundamentals
  • 2. Data warehousing concepts and architectures
  • 3. Reporting and visualization
- Data Architecture
  • 1. Architecture frameworks and tools
  • 2. Enterprise data architecture concepts
  • 3. Data modeling and design
- Content and Document Management
  • 1. Records management
  • 2. Unstructured data management
  • 3. Content lifecycle management
- Metadata Management
  • 1. Metadata architecture and repository
  • 2. Metadata standards and integration
  • 3. Metadata types and definitions
- Data Integration and Interoperability
  • 1. Data interoperability standards
  • 2. Data integration techniques
  • 3. ETL/ELT processes
- Data Storage and Operations
  • 1. Database security and access control
  • 2. Database architecture and technology
  • 3. Data storage design principles
- Data Governance
  • 1. Data quality management
  • 2. Governance bodies and organizational roles
  • 3. Governance framework and scope
  • 4. Policies, standards, and procedures
- Data Business and Data Management
  • 1. Data management definitions and principles
  • 2. Business drivers and data roles
  • 3. Data management frameworks
- Data Quality
  • 1. Data quality measurement and improvement
  • 2. Data quality dimensions
  • 3. Data profiling and cleansing
- Data Ethics
  • 1. Ethical principles and practices
  • 2. Responsible AI and algorithmic bias
  • 3. Privacy and consumer protection
- Data Risk Management
  • 1. Risk mitigation strategies
  • 2. Data protection and compliance
  • 3. Risk identification and assessment
- Data Strategy
  • 1. Data governance strategy
  • 2. Data management strategy development
  • 3. Strategic planning process
- Data Modeling and Design
  • 1. Data modeling techniques
  • 2. Normalization and denormalization
  • 3. Conceptual, logical, and physical models
- Master Data and Reference Data
  • 1. Master data management processes
  • 2. MDM and RDM concepts
  • 3. Reference data management

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