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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q220-Q225):

NEW QUESTION # 220
Data replication has two dimensions of scaling: diagonal and lateral

Answer: A


NEW QUESTION # 221
A goal of reference and master data management is for data to ensure shared data is:

Answer: E


NEW QUESTION # 222
Data Governance focuses exclusively on:

Answer: E


NEW QUESTION # 223
The Shewhart chart contains the following elements:

Answer: A,B,E,F


NEW QUESTION # 224
Which of the following is a Data Quality principle?

Answer: D


NEW QUESTION # 225
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