DMF-1220 PDF Dumps Sep 30, 2026 Recently Updated Questions [Q19-Q35]

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DMF-1220 PDF Dumps | Sep 30, 2026 Recently Updated Questions

DMF-1220 Exam Questions – Valid DMF-1220 Dumps Pdf

DAMA DMF-1220 Exam Syllabus Topics:

Section	Objectives
Data Architecture
Reference and Master Data
Metadata Management
Data Integration and Interoperability
Document and Content Management
Data Governance
Data Security
Data Warehousing and Business Intelligence
Data Storage and Operations
Data Quality Management
Data Modeling and Design

NO.19 The roles associated with enterprise data architecture are data architect, data modellers and data stewards.

TRUE

FALSE

NO.20 Please select the correct types of data stewards:

Executive Data Steward

Chief Data Steward

Enterprise Data Steward

Business Data Steward

A Data Seller

All of the above

NO.21 Integrating data security with document and content management knowledge areas.
guides the implementation of:

Appropriate access and authorization to unstructured data

Fitness for purpose metrics for unstructured data

Appropriate privacy controls on data marts

Appropriate access and authorization to structured data

Straight-through processing for NoSQL queries

NO.22 Primary deliverables of the Data Warehouse and Business Intelligence context diagram include:

Data Products

Data Stewardship

Governance Activities

Release Plan

Load Tuning Activities

BI Activity Monitoring

NO.23 The acronym CMDB stands for:

Customization management tools or databases

Classic management technologies or databases

Cached management technologies or databases

Configuration management tools or databases

Cached management tools or databases

Classic monitoring technologies or databases

NO.24 The creation of overly complex enterprise integration over time is often a symptom of:

Multiple data warehouses

Multiple integration technologies

Multiple metadata tags

Multiple application coding languages

Multiple data owners

NO.25 Data architect: A senior analyst responsible for data architecture and data integration.

TRUE

FALSE

NO.26 Architects seek to design in a way that brings value to an organisation. To reach these goals, data architects define and maintain specifications that:

Align data architecture with enterprise strategy and business architecture

Provide a standard business vocabulary for data and components

Outline high-level integrated designs to meet these requirements.

Integrate with overall enterprise architecture roadmap

Define the current state of data in the organization.

Express strategic data requirements

NO.27 Disciplines within the enterprise architecture practice does not include:

Technology architecture

Application architecture

Information architectureService Architecture

Business architecture

NO.28 Three data governance operating models types include:

Centralized

Decentralized

Feathered

Federated

Replicated

Duplicated

NO.29 Types of metadata include:

Strategic

Business

Column-orientated

Operational

Graph

Technical

NO.30 Which of these is NOT likely in the scope of Data Governance and Stewardship?

Data asset valuation in order to allocate priority to data quality management

Ensure the privacy needs of stakeholders are enforced and audited

To train staff on data governance principles, embedding them in everyday decision making

To adjust the definitions of items in the chart of accounts to improve financial management

Monitor compliance to record management policies

Data governance focuses on data-related policies, not financial account definitions. The DAMA-DMBOK states: “Data governance and stewardship include valuing data assets, ensuring privacy, training staff, and monitoring compliance with data policies, but financial account definitions fall under financial management” (DMBOK2, Chapter 3: Data Governance, p. 109). Option D is outside the scope.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.2, p. 109.

NO.31 What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?

Primary key

Foreign key

Network key

Applications key

Door key

All of the above

NO.32 Basic profiling of data involves analysis of:

Data sources, data visualisations, data latency and ownership

Data clusters, data clouds, data repositories and metadata libraries

Data lakes, data warehouses and operational data stores

Data formats, data values, patterns and relationships

Data criteria, data acquisition, data policy and procedures inside dataGovernance

NO.33 A successful Data Governance program requires that all enterprise data be certified.

FALSE

TRUE

NO.34 An implemented warehouse and its customer facing BI tool is a data product.

TRUE

FALSE

NO.35 When doing reference data management, there many organizations that have standardized data sets that are incredibly valuable and should be subscribed to. Which of these organizations would be least useful?

The company registration organization

Wikipedia

ISO

IEEE

The national post office

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