Verified & Correct DMF-1220 Practice Test Reliable Source Sep 08, 2025 Updated [Q345-Q364]

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Verified & Correct DMF-1220 Practice Test Reliable Source Sep 08, 2025 Updated

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The DMF-1220 certification exam is an excellent way for professionals to validate their knowledge and skills in the field of data management. It covers a wide range of topics and is suitable for individuals with varying levels of experience. Earning this certification can help professionals stand out in a competitive job market and advance their careers in the field of data management.

The Data Management Fundamentals (DMF-1220) Certification Exam is a professional certification offered by the Data Management Association (DAMA). Data Management Fundamentals certification is designed for individuals who work in the field of data management, including data analysts, data scientists, data architects, and database administrators. Data Management Fundamentals certification exam covers the fundamental principles of data management, including data modeling, data quality, data governance, and data integration.

NEW QUESTION 345
What is the main purpose of developing a Data Architecture Roadmap?

To help forward-looking decision making

To help the management of the organization to see the trade-offs

To manage the data dependencies that require active management

To formulate a plan to address architectural problems in the business

To ensure that projects are aligned with business needs and opportunities

NEW QUESTION 346
Data flows map and document relationships between data and:

Locations where local differences occur

Situations where local differences occur

Network segments

Applications within a business process

None of the above

All of the above

NEW QUESTION 347
The ‘Data Governance Steering Committee’ is best described as:

The primary and highest authority responsible for the oversight and support of Data Governance activities

The representatives of data use on project steering committees

The local or divisional council, working under auspices of the CDO

A burden to the agile delivery in a modern enterprise

The community of interest, focused on specific subject areas or projects

NEW QUESTION 348
The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.

FALSE

TRUE

NEW QUESTION 349
Disciplines within the enterprise architecture practice does not include:

Technology architecture

Application architecture

Information architectureService Architecture

Business architecture

NEW QUESTION 350
SSD is the abbreviation for Solid State Dimension.

TRUE

FALSE

NEW QUESTION 351
The information governance maturity model describes the characteristics of the information governance and recordkeeping environment at five levels of maturity for each of the eight GARP principles. Please select the correct level descriptions:

Level 2 In Development

Level 4 Proactive

Level 2 Sub-standard

Level 4 Proactive

Level 3 Transformational

Level 3 Essential

NEW QUESTION 352
There are three techniques for data-based change data capture, namely:

The source system populates specific data elements.

Application automated interfaces

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.

The source systems send binary code through ASCI that makes the process rapid.

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.

None of the above

NEW QUESTION 353
A general principle for managing metadata includes Responsibility.

FALSE

TRUE

NEW QUESTION 354
To push up the urgency level requires adding of the sources of complacency or increasing of their impact.

TRUE

FALSE

NEW QUESTION 355
A goal of data architecture is to identify data storage and processing requirements.

TRUE

FALSE

NEW QUESTION 356
To become data-centric, organizations need to think differently. They need to recognize:

That managing data is the same as delivering reporting

That managing data is different from managing IT

That managing data is the same as making better business decisions

That managing data is the same as managing finance

That managing data is the same as managing IT

Data-centric organizations distinguish data management from IT management. The DAMA-DMBOK states:
“A data-centric organization recognizes that managing data is distinct from managing IT, focusing on data as a strategic asset separate from technology infrastructure” (DMBOK2, Chapter 1: Data Management, p. 17).
Option B is correct.
Reference:DAMA-DMBOK2, Chapter 1: Data Management, Section 2.1, p. 17.

NEW QUESTION 357
Inputs in the reference and master data context diagram include:

None of the above

Business Drivers

Business model

Data Glossary

Cultural Drivers

All of the above

NEW QUESTION 358
What ISO standard defines characteristics that can be tested by any organisation in the data supply chain to objectively determine conformance of the data to this ISO standard.

ISO 9000

ISO 7000

ISO 8000

ISO 9001

NEW QUESTION 359
What are the three qualities of an effective Data Governance function?

Optimism, objective, sustainable

Sustainable, embedded, measured

Measured, objective, embedded

Embedded, systematic, sustainable

Sustainable, realistic, embedded

An effective data governance function must be embedded in organizational processes, systematic in its approach, and sustainable over time. The DAMA-DMBOK states: “Effective data governance is embedded within business processes, systematic in its application of policies and standards, and sustainable to support long-term organizational goals” (DMBOK2, Chapter 3: Data Governance, p. 107).
Other options include qualities like “measured” or “objective,” but DMBOK emphasizes embedded, systematic, and sustainable as the core triad.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.3, p. 107.

NEW QUESTION 360
Three data governance operating models types include:

Centralized

Decentralized

Feathered

Federated

Replicated

Duplicated

NEW QUESTION 361
Implementing a BI portfolio is about identifying the right tools for the right user communities within or across business units.

TRUE

FALSE

NEW QUESTION 362
What are the business objectives for building a business glossary?

To have a place to store physical schemas for the DBAs

Make sure that the data stewards have valid work to perform, & justify that the budget for Data Governance

Take all the core data elements from the data models and store them in the glossary

Establish a common understanding of core business concepts and terminology & enable access to documented institutional knowledge

Create a place to manage metadata and lineage

NEW QUESTION 363
What are the three characteristics of effective Data Governance communication?

It must be clear, unambiguous, and consistent

It must be consistent, unambiguous, engaging

It must be viral, vital, and have volume

It must be colorful, engaging, using multi-media

It must be clear, structured, repetitive

NEW QUESTION 364
Inputs in the data quality context diagram include:

Data stores

Data lakes

Business requirements

Data quality expectations

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Verified & Correct DMF-1220 Practice Test Reliable Source Sep 08, 2025 Updated [Q345-Q364]

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