DMF-1220 Exam Outline & DMF-1220 Latest Test Braindumps

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DAMA DMF-1220 Exam Syllabus Topics:

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

Section

Objectives

Data Management Fundamentals

- Data Storage and Operations

1. Database security and access control
2. Data storage design principles
3. Database architecture and technology

- Data Modeling and Design

1. Data modeling techniques
2. Normalization and denormalization
3. Conceptual, logical, and physical models

- Data Warehousing and Business Intelligence

1. Data warehousing concepts and architectures
2. Reporting and visualization
3. BI and analytics fundamentals

- Data Quality

1. Data quality dimensions
2. Data quality measurement and improvement
3. Data profiling and cleansing

- 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 Risk Management

1. Risk identification and assessment
2. Risk mitigation strategies
3. Data protection and compliance

- Data Strategy

1. Data management strategy development
2. Strategic planning process
3. Data governance strategy

- Data Integration and Interoperability

1. Data interoperability standards
2. ETL/ELT processes
3. Data integration techniques

- Data Ethics

1. Ethical principles and practices
2. Responsible AI and algorithmic bias
3. Privacy and consumer protection

- Content and Document Management

1. Content lifecycle management
2. Records management
3. Unstructured data management

- Master Data and Reference Data

1. Master data management processes
2. MDM and RDM concepts
3. Reference data management

- Data Security

1. Data classification and handling
2. Privacy regulations compliance
3. Security frameworks and controls

- Data Governance

1. Policies, standards, and procedures
2. Governance bodies and organizational roles
3. Governance framework and scope
4. Data quality management

- 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 (Q528-Q533):

NEW QUESTION # 528
Organizations conduct capability maturity assessments for a number of reasons, including:

A. New technology
B. Data modeling
C. Organizational change
D. Data management issues
E. Data governance
F. Regulation

Answer: A,C,D,E,F

NEW QUESTION # 529
Achieving security risk reduction in an organisation begins with developing what?

A. A security model, classifying each organisational role and putting the physicaldata behind a firewall
B. A classification model, classifying each data concept and locating the physicaldata
C. An enterprise data model, rolling out data flow diagrams and enbedding securityinto the database
D. A change management model, prioritising security changes and then updatingthe active directory
E. A metadata model, locating the data and moving it into the metadata repository

Answer: B

NEW QUESTION # 530
Who should write the main content for a security policy for an organisation?

A. A data governance knowledge area specialist
B. The data steward associated with the data
C. The database administrator
D. A security knowledge area specialist
E. The data warehouse developer

Answer: D

NEW QUESTION # 531
Data Storage and Operations: The design, implementation and support of stored data to maximize its value.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 532
An enterprise's organisation chart has multiple levels, each with a single reporting line. This is an example of a:

A. Hierarchical taxonomy
B. Flat taxonomy
C. Compound taxonomy
D. Ecological taxonomy
E. Hybrid taxonomy

Answer: A

NEW QUESTION # 533
......

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