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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q655-Q660):

NEW QUESTION # 655
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.

Answer: A


NEW QUESTION # 656
A synonym for transformation in ETL is mapping. Mapping is the process of developing the lookup matrix from source to target structures, but not the result of the process.

Answer: A


NEW QUESTION # 657
Two risks with the Matching process are:

Answer: B,C


NEW QUESTION # 658
The repeated implementation of different CRM technologies with different data structures is mostly a failure of:

Answer: B


NEW QUESTION # 659
Data Storage and Operations: The design, implementation and support of stored data to maximize its value.

Answer: A


NEW QUESTION # 660
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