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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q123-Q128):

NEW QUESTION # 123
Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.

Answer: D


NEW QUESTION # 124
Which of the following provides the strongest tangible reason for driving initiation of a Data Governance process in an enterprise?

Answer: A


NEW QUESTION # 125
Lack of automated monitoring represents serious risks, including compliance risk.

Answer: B


NEW QUESTION # 126
One of the key differences between operational systems and data warehouses is:

Answer: A


NEW QUESTION # 127
In data integration, the goal of data discovery is toc

Answer: B


NEW QUESTION # 128
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