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DAMA DMF-1220 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Management Fundamentals- Data Quality
  • 1. Data profiling and cleansing
  • 2. Data quality dimensions
  • 3. Data quality measurement and improvement
- Data Security
  • 1. Security frameworks and controls
  • 2. Privacy regulations compliance
  • 3. Data classification and handling
- Data Governance
  • 1. Governance framework and scope
  • 2. Policies, standards, and procedures
  • 3. Governance bodies and organizational roles
  • 4. Data quality management
- Data Risk Management
  • 1. Data protection and compliance
  • 2. Risk identification and assessment
  • 3. Risk mitigation strategies
- Data Integration and Interoperability
  • 1. ETL/ELT processes
  • 2. Data integration techniques
  • 3. Data interoperability standards
- Data Business and Data Management
  • 1. Data management definitions and principles
  • 2. Business drivers and data roles
  • 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. Unstructured data management
  • 2. Content lifecycle management
  • 3. Records management
- Data Modeling and Design
  • 1. Data modeling techniques
  • 2. Conceptual, logical, and physical models
  • 3. Normalization and denormalization
- Data Warehousing and Business Intelligence
  • 1. BI and analytics fundamentals
  • 2. Data warehousing concepts and architectures
  • 3. Reporting and visualization
- Metadata Management
  • 1. Metadata types and definitions
  • 2. Metadata architecture and repository
  • 3. Metadata standards and integration
- Data Architecture
  • 1. Data modeling and design
  • 2. Architecture frameworks and tools
  • 3. Enterprise data architecture concepts
- Data Ethics
  • 1. Privacy and consumer protection
  • 2. Ethical principles and practices
  • 3. Responsible AI and algorithmic bias
- Data Strategy
  • 1. Data management strategy development
  • 2. Data governance strategy
  • 3. Strategic planning process
- 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 (Q201-Q206):

NEW QUESTION # 201
A key feature of the Bill Inmon's approach to data warehousing is:

Answer: D


NEW QUESTION # 202
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?

Answer: A

Explanation:
The DAMA-DMBOK refers to organizations that treat data as a strategic asset and manage it across its lifecycle as "data-centric." It states: "A data-centric organization values data as an asset, integrates data management into its culture, and manages data through all phases of its lifecycle, from creation to retirement" (DMBOK2, Chapter 3: Data Governance, p. 103).
Options A, B, C, and E are incorrect: C refers to decision-making approaches, while others are not DMBOK terms.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.1, p. 103.


NEW QUESTION # 203
There is a global trend towards increasing legislative protection of individual's information privacy. Which of these is an emerging topic related to online ethical behaviours?

Answer: C


NEW QUESTION # 204
A data model that consists of a single fact table linked to important concepts of the business is a:

Answer: E


NEW QUESTION # 205
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.

Answer: B


NEW QUESTION # 206
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