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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q306-Q311):

NEW QUESTION # 306
Data security internal audits ensure data security and regulatory compliance policies are followed should be conducted regularly and consistently.

Answer: B


NEW QUESTION # 307
Please select the correct principles of the General Data Protection Regulation (GDPR) of the EU.

Answer: E


NEW QUESTION # 308
Data stewardship is the least common label to describe accountability and responsibility for data and processes to ensure effective control and use of data assets.

Answer: A


NEW QUESTION # 309
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.

Answer: B


NEW QUESTION # 310
Data management organizational constructs include the following type of model.

Answer: A,B,C,F


NEW QUESTION # 311
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