真実的なDMF-1220模擬試験サンプル &合格スムーズDMF-1220日本語学習内容 |素敵なDMF-1220専門知識内容

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DAMA DMF-1220 Exam Syllabus Topics:

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

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DMF-1220日本語学習内容、DMF-1220専門知識内容

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DAMA Data Management Fundamentals 認定 DMF-1220 試験問題 (Q441-Q446):

質問 # 441
To build models, data modellers heavily rely on previous analysis and modelling work.

正解：B


質問 # 442
Business Intelligence tool types include:

正解：A、C、F


質問 # 443
In 2009, ARMA International published GARP for managing records and information. GARP stands for:

正解：E

解説：
GARP stands for Generally Accepted Recordkeeping Principles . ARMA International developed the principles to establish a consistent framework for effective records and information management. The original framework identifies principles addressing Accountability, Integrity, Protection, Compliance, Availability, Retention, Disposition, and Transparency. Collectively, these principles help organizations ensure that records are created, maintained, protected, retained, retrieved, and disposed of in ways that support operational requirements and demonstrate regulatory and legal compliance. The principles also reinforce Data Governance because accountability, control, auditability, information lifecycle management, and compliance are central governance concerns. ARMA ' s published GARP document explicitly identifies the framework as the "Generally Accepted Recordkeeping Principles" and records its approval in February 2009. None of the other expansions given in the question represents the established ARMA terminology.


質問 # 444
Which of the following is NOT required to effectively track data quality incidents?

正解：A


質問 # 445
The accepted tenets of bioethics provide a starting point for the principles of data ethics. Which of the following tenets of bioethics is NOT included in the DMBOK2 Chapter on Data Handling Ethics?

正解：A

解説：
The DMBOK2 includes all listed bioethics tenets in its data handling ethics framework. The DAMA- DMBOK states: "Data handling ethics draws from bioethics principles, including Non-Maleficence, Justice, Respect for Persons, and Beneficence, to guide ethical data practices" (DMBOK2, Chapter 14: Data Handling Ethics, p. 559). Since all are included, "None of these" (B) is correct.
Reference:DAMA-DMBOK2, Chapter 14: Data Handling Ethics, Section 2.2, p. 559.


質問 # 446
......

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