DMF-1220 Free Sample Questions - DMF-1220 Latest Test Discount

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DAMA DMF-1220 Exam Syllabus Topics:

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

Section

Objectives

Data Management Fundamentals

- Data Ethics

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

- Master Data and Reference Data

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

- Data Strategy

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

- Data Architecture

1. Enterprise data architecture concepts
2. Architecture frameworks and tools
3. Data modeling and design

- Data Integration and Interoperability

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

- Data Risk Management

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

- Data Security

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

- Data Governance

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

- Content and Document Management

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

- Data Storage and Operations

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

- Data Quality

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

- Data Business and Data Management

1. Business drivers and data roles
2. Data management frameworks
3. Data management definitions and principles

- Data Modeling and Design

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

- Data Warehousing and Business Intelligence

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

- Metadata Management

1. Metadata architecture and repository
2. Metadata types and definitions
3. Metadata standards and integration

>> DMF-1220 Free Sample Questions <<

DMF-1220 Free Sample Questions - Valid DMF-1220 Latest Test Discount and Updated Test Data Management Fundamentals Testking

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DAMA Data Management Fundamentals Sample Questions (Q55-Q60):

NEW QUESTION # 55
The data-vault is an object-orientated, time-based and uniquely linked set of normalized tables that support one or more functional areas of business.

A. TRUE
B. FALSE

Answer: B

NEW QUESTION # 56
Change Data Capture is a method of reducing bandwidth by filtering to include only data that has been changed within a defined timeframe.

A. FALSE
B. TRUE

Answer: B

NEW QUESTION # 57
Why is it so important to conduct a Data Governance Readiness Assessment?

A. It will identify the readiness and level of maturity that an organization will need to effectively govern and sustain its data, process, and policies
B. It will give the Business some metrics
C. It is important because the organization will have an opportunity for business people to be identified as data stewards
D. It is important because it will prove that the IT department is best qualified to define, develop, and manage the organization's data assets
E. Because it will show that the Data Governance team is working hard

Answer: A

Explanation:
A readiness assessment evaluates an organization's maturity for data governance. The DAMA-DMBOK states: "A Data Governance Readiness Assessment identifies the organization's maturity level and readiness to effectively govern and sustain its data, processes, and policies" (DMBOK2, Chapter 3: Data Governance, p.
121). Option E is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.2, p. 121.

NEW QUESTION # 58
The four main types of NoSQL databases are:

A. Strategic
B. Key-value
C. Graph
D. Row-orientated
E. Document
F. Column-orientated

Answer: B,C,E,F

NEW QUESTION # 59
The acronym ETL most commonly stands for:

A. Export Transform Log
B. Efficient Trace Logging
C. Extract Transform Load
D. Extend Trim Load
E. Extract Transpose Leverage

Answer: C

NEW QUESTION # 60
......

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