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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q553-Q558):

NEW QUESTION # 553
What is the best way to ensure you have high quality data?

Answer: D


NEW QUESTION # 554
What changes in data processing when a gas utility checks the condition of its assets using a drone rather than a team of people driving alongside the pipeline?

Answer: D

Explanation:
Switching from human inspection to drones changes the data from direct condition reports to raw observation data (e.g., images or sensor readings) that requires analysis to derive asset conditions. The DAMA-DMBOK notes: "The introduction of new data collection methods, such as IoT or drones, often shifts data processing from structured, interpreted data to raw, observational data that requires additional processing to extract meaningful insights" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 517).
Options B, D, and E misalign data types (e.g., reference, master, or metadata are not relevant here), and C is incorrect as video data is typically harder to process than structured data.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.1, p. 517.


NEW QUESTION # 555
The goals of Data Integration and Interoperability include:

Answer: A,C,D,F


NEW QUESTION # 556
Quality Assurance Testing (QA) is used to test functionality against requirements.

Answer: B


NEW QUESTION # 557
Data replication can be active or passive.

Answer: B


NEW QUESTION # 558
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