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DAMA DMF-1220 Exam Syllabus Topics:

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

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DAMA Data Management Fundamentals Sample Questions (Q404-Q409):

NEW QUESTION # 404
The load step of the ETL is physically storing or presenting the results of the transformation into the source system.

Answer: A


NEW QUESTION # 405
The steps followed in managing data issues include:

Answer: B


NEW QUESTION # 406
Uniqueness, as a dimension of data quality, states no entity exists more than once within the data set.

Answer: A


NEW QUESTION # 407
Two risks with the Matching process are:

Answer: A,D


NEW QUESTION # 408
There are numerous methods of implementing databases on the cloud. The most common are:

Answer: A,B,C


NEW QUESTION # 409
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