DMF-1220 Exam guide: Data Management Fundamentals & DMF-1220 Test engine & DMF-1220 Real dumps

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DAMA DMF-1220 Exam Syllabus Topics:

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

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

NEW QUESTION # 250
Service accounts are convenient because they can tailor enhanced access for the processes that use them.

Answer: B


NEW QUESTION # 251
A change management program supporting Data Governance should focus communication on what?

Answer: D


NEW QUESTION # 252
The minority of operational metadata is generated as data is processed.

Answer: B


NEW QUESTION # 253
What is the final step in the development of a business-data-driven roadmap?

Answer: D

Explanation:
The final step in a business-data-driven roadmap is to establish the sequence of projects that implement the data value chain, prioritizing initiatives to deliver business value. The DAMA-DMBOK states: "The development of a data-driven roadmap concludes with establishing a prioritized sequence of projects to build the data value chain, aligning data initiatives with business capabilities" (DMBOK2, Chapter 4: Data Architecture, p. 153).
Options A, B, D, and E are earlier steps: describing the value chain (A), finalizing data flow (B), resequencing capabilities (D), and resolving dependencies (E) precede project sequencing.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 4.4, p. 153.


NEW QUESTION # 254
Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.

Answer: B


NEW QUESTION # 255
......

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