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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q131-Q136):

NEW QUESTION # 131
An effective team is based on two simple foundations: trust and a common goal.

Answer: B


NEW QUESTION # 132
Which Data Architecture Artifact describes how data transforms into business assets?

Answer: D


NEW QUESTION # 133
A primary business driver of data storage and operations is:

Answer: E


NEW QUESTION # 134
Issues caused by data entry processes include:

Answer: B,C,D,E,F


NEW QUESTION # 135
Inputs in the data quality context diagram include:

Answer: A,B,D


NEW QUESTION # 136
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