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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q42-Q47):

NEW QUESTION # 42
What is the best definition of Crowdsourced data collection?

Answer: B


NEW QUESTION # 43
A communication plan includes an engagement model for stakeholders, the type of information to be shared, and the schedule for sharing information.

Answer: B


NEW QUESTION # 44
In Data Modelling, the generalization of the concept of person and organization into a party enables:

Answer: B

Explanation:
Generalizing persons and organizations into a "party" entity allows them to assume roles in agreements, share addresses, and participate in common processes. The DAMA-DMBOK states: "The party concept in data modeling generalizes persons and organizations, enabling them to act in roles (e.g., customer, supplier) and share attributes like addresses or interactions" (DMBOK2, Chapter 5: Data Modeling and Design, p. 187).
Options A, B, C, and E are less accurate: A is too narrow, B is a secondary benefit, C is implementation- specific, and E is unrelated to modeling.
Reference:DAMA-DMBOK2, Chapter 5: Data Modeling and Design, Section 3.5, p. 187.


NEW QUESTION # 45
The primary goal of data management capability assessment is to evaluate the current state of critical data management activities in order to plan for improvement.

Answer: B


NEW QUESTION # 46
In matching, false positives are three references that do not represent the same entity are linked with a single identifier.

Answer: B


NEW QUESTION # 47
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