TOP Valid DMF-1220 Exam Papers - Trustable DAMA Latest DMF-1220 Exam Questions Vce: Data Management Fundamentals

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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q250-Q255):

NEW QUESTION # 250
Big data management requires:

Answer: C

Explanation:
Big data management involves handling large, complex, and unstructured datasets, requiring greater discipline in governance, quality, and processing compared to relational data. The DAMA-DMBOK states:
"Big data management requires more discipline than traditional relational data management due to the volume, velocity, variety, and veracity challenges" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 521).
Options A, B, D, and E are incorrect: big data requires discipline, not less or none, and budgets or certifications are irrelevant to the question.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.3, p. 521.


NEW QUESTION # 251
The first two steps of the Reference data Change request process, as prescribed DMBOk2, include:

Answer: C,E


NEW QUESTION # 252
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:

Answer: D


NEW QUESTION # 253
Real-time data integration is usually triggered by batch processing, such as historic data.

Answer: A


NEW QUESTION # 254
Change only requires change agents in special circumstances, especially when there is little to no adoption.

Answer: A


NEW QUESTION # 255
......

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