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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q372-Q377):

NEW QUESTION # 372
Data handling ethics are concerned with how to procure, store, manage, use and dispose of data in ways that are aligned with ethical principles.

Answer: B


NEW QUESTION # 373
Small reference data value sets in the logical data model can be implemented in a physical model in three common ways:

Answer: B,D,F


NEW QUESTION # 374
Characteristics that minimise distractions and maximise useful information include, but not limited to, consistent object attributes

Answer: B


NEW QUESTION # 375
Data warehousing describes the operational extract, cleaning, transformation, control and load processes that maintain the data in a data warehouse.

Answer: B


NEW QUESTION # 376
Metadata management solutions include architectural layers including:

Answer: A,B,D,E


NEW QUESTION # 377
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