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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q267-Q272):

NEW QUESTION # 267
The biggest business driver for developing organizational capabilities around Big Data and Data Science is the desire to find and act on business opportunities that may be discovered through data sets generated through a diversified range of processes.

Answer: B


NEW QUESTION # 268
Consistent input data reduces the chance of errors in associating records. Preparation processes include:

Answer: B,C,D


NEW QUESTION # 269
Inputs in the Data Integration and Interoperability context diagram include:

Answer: A,B,C,D


NEW QUESTION # 270
The European Commission Article 29 Data Protection Working Party provides a set of criteria to evaluate anonymization methods. What do they recommend?

Answer: E


NEW QUESTION # 271
Data governance program must contribute to the organization by identifying and delivering on specific benefits.

Answer: B


NEW QUESTION # 272
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