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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q359-Q364):

NEW QUESTION # 359
Common understanding of the core business concepts and terminology is the objective of which deliverable?

Answer: A


NEW QUESTION # 360
Metadata management solutions include architectural layers including:

Answer: C,D,E,F


NEW QUESTION # 361
The best preventative action to prevent poor quality data from entering an organisation include:

Answer: A,B,C,E,F


NEW QUESTION # 362
Which of these is NOT a component of an enterprise wide data strategy?

Answer: D


NEW QUESTION # 363
Different levels of policy are required to govern behavior to enterprise security. For example:

Answer: C,D,F


NEW QUESTION # 364
......

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