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DAMA DMF-1220 Exam Syllabus Topics:

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

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Quiz 2026 DMF-1220: Data Management Fundamentals Latest Exam Bible

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DAMA Data Management Fundamentals Sample Questions (Q604-Q609):

NEW QUESTION # 604
A hacker is a person who finds unknown operations and pathways within complex computer system. Hackers are only bad.

Answer: A


NEW QUESTION # 605
A completely distributed architecture maintains a single access point. The metadata retrieval engine responds to user requests by retrieving data from source systems in real time.

Answer: B


NEW QUESTION # 606
Periodic archiving of transaction data from a production CRM system is critical for:

Answer: C

Explanation:
Archiving transaction data in a production CRM system is primarily aimed at optimizing database performance by reducing the volume of active data, which enhances query response times and system efficiency. According to the DAMA-DMBOK, archiving is a key activity in data lifecycle management that supports data storage and operations. The DMBOK states: "Archiving involves moving data that is no longer actively used to a separate storage device for long-term retention. Archiving helps maintain database performance by reducing the size of active datasets, which can improve query performance and reduce resource consumption" (DMBOK2, Chapter 10: Data Storage and Operations, p. 387).
This process ensures that the database remains efficient for transactional processing, as large volumes of historical data can slow down operations if not archived. Options A, B, D, and E, while potentially related to data management, do not directly address the primary purpose of archiving in this context. For instance, managing deleted customer records (B) relates more to data retention policies, and providing alternate sources for reporting (E) is a secondary benefit rather than the primary goal.
Reference:DAMA-DMBOK2, Chapter 10: Data Storage and Operations, Section 4.3, p. 387.


NEW QUESTION # 607
Tools required to manage and communicate changes in data governance programs include

Answer: A,B,C,F


NEW QUESTION # 608
Types of metadata include:

Answer: A,B,D


NEW QUESTION # 609
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