DAMA DMF-1220 exam dumps - Data Management Fundamentals

  • Exam Code: DMF-1220
  • Exam Name: Data Management Fundamentals
  • Updated: Oct 13, 2026     Q & A: 750 Questions and Answers

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Reference: https://www.dama.org/cpages/cdmp-information

The Data Management Fundamentals certification exam is designed to be challenging, and candidates are required to demonstrate their knowledge of the fundamental concepts and principles of data management. Data Management Fundamentals certification exam consists of 100 multiple-choice questions, and candidates have 90 minutes to complete the exam. DMF-1220 exam is administered by DAMA International, which is a non-profit organization that promotes the development of data management professionals and the advancement of the data management profession.

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DAMA DMF-1220 (Data Management Fundamentals) Exam is an industry-recognized certification that focuses on the fundamental principles of data management. Data Management Fundamentals certification is designed to validate an individual's knowledge and skills in the field of data management, including the key concepts, terminology, and best practices that are essential for effective data management.

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DAMA DMF-1220 Exam Syllabus Topics:

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

DAMA Data Management Fundamentals Sample Questions:

Question #1

The purpose of enterprise application architecture is to describe the structure and functionality of applications in an enterprise.

  • A. TRUE
  • B. FALSE
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

Malware refers to any infectious software created to damage, change or improperly access a computer or network.

  • A. TRUE
  • B. FALSE
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

A Global ID is the MDM solution-assigned and maintained unique identifier attached to reconciled records.

  • A. TRUE
  • B. FALSE
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

There are three techniques for data-based change data capture, namely:

  • A. The source system processes add to a simple list of objects and identifiers when changing data, which is then used to control selection of data extraction.
  • B. Application automated interfaces
  • C. The source system processes copy data that has changed into a separate object as part of the transaction, which is then used for the extract process.
  • D. The source systems send binary code through ASCI that makes the process rapid.
  • E. None of the above
  • F. The source system populates specific data elements.
Reveal Solution  Discussion  0

Correct Answer: A,C,F  🗳️

Question #5

The deliverables of the data modelling process include:

  • A. Lineage
  • B. Assessments
  • C. Roadmap
  • D. Issues and outstanding questions
  • E. Diagram
  • F. Definitions
Reveal Solution  Discussion  0

Correct Answer: A,D,E,F  🗳️

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