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DMF-1220 DAMA Data Management Fundamentals Free Practice Exam Questions (2025 Updated)

Prepare effectively for your DAMA DMF-1220 Data Management Fundamentals certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

Page: 4 / 8
Total 725 questions

In a SQL injection attack, a perpetrator inserts authorized database statements into a vulnerable SQL data channel, such as a stored procedure.

A.

FALSE

B.

TRUE

The load step of ETL is physically storing or presenting the results of the transformation in the target system.

A.

TRUE

B.

FALSE

Accomplish repository scanning in two distinct approaches, including:

A.

Semi- proprietary integration

B.

Proprietary interface

C.

Semi-proprietary interface

D.

Proprietary integration

Which DMBok knowledge area is most likely responsible for a high percentage of

returned mail?

A.

Data Quality

B.

Reference and Master Data

C.

Data Warchousing and Business Intelligence

D.

Data Integration and Interoperability

E.

Metadata Management

Which Data Architecture artefact contains the names of key business entities, their

relationships, critical guiding business rules and critical attributes?

A.

Enterprise Data Standards

B.

Enterprise Business Glossary

C.

Enterprise Semantic Model

D.

Enterprise Data Model

E.

Enterprise Data Flows

Content management includes the systems for organizing information resources so that they can specially be stored.

A.

TRUE

B.

FALSE

In the context of big data the Three V’s refer to: Volume, Velocity and Validity

A.

FALSE

B.

TRUE

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

A.

TRUE

B.

FALSE

Use business rules to support Data Integration and Interoperability at various points, to:

A.

Direct the flow of data in the organization

B.

Monitor the organization’s operational data

C.

Software alerts when events are triggered

D.

Direct when to automatically trigger events and alerts

E.

Consistency in allocation event resources

F.

None of the above

Achieving near-real-time data replication, using a source accumulation technique,

triggers on:

A.

Posting of messages on the enterprise bus

B.

Arrival of streaming data

C.

Daily batch loads

D.

Reaching a threshold or frequency schedule

E.

Request from a target system to pull data

Which of the following is an activity for defining a Data Governance strategy?

A.

Develop a Business Glossary

B.

Perform Readiness Assessment

C.

Develop Goals, Principles, and Policies

D.

Charter Data Governance Council

E.

Deliver a plan for mapping metadata

Valuation information, as an example of data enrichment, is for asset valuation, inventory and sale.

A.

TRUE

B.

FALSE

Data Standards used by the enterprise must:

A.

Promote consistent results but periodically reviewed and updated

B.

Be a guideline for the organization but open to interpretation

C.

Promote consistent results so only written once and never updated

D.

Only be necessary for the Data Governance team

E.

Set by an standards organization and not by the enterprise

The better an organization understands the lifecycle and lineage of its data, the better able it will be to manage its data. Please select correct implication of the focus of data management on the data lifecycle.

A.

Data Quality must be managed throughout the data lifecycle

B.

Data Security must only be managed at the start of the data lifecycle

C.

Metadata Quality is the most important part of the management process

D.

Data Management efforts should focus on the most critical data last

The difference between warehouses and operational systems do not include the following element:

A.

Time variant

B.

Database

C.

Subject-orientated

D.

Historical

Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.

A.

FALSE

B.

TRUE

Data architect: A senior analyst responsible for data architecture and data integration.

A.

TRUE

B.

FALSE

What is the final step in the development of a business-data-driven roadmap?

A.

Describe the Data Value Chain that supports the Business Capabilities

B.

Finalize the Data flow between business capabilities

C.

Establish the sequence of projects that will be used to establish the data value chain

D.

Resequencing of some of the business capabilities to resolve data dependencies

E.

Resolve Data Dependency challenges

An advantage of a centralized repository include: Quick metadata retrieval, since the repository and the query reside together.

A.

TRUE

B.

FALSE

What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?

A.

Primary key

B.

Foreign key

C.

Network key

D.

Applications key

E.

Door key

F.

All of the above

The business glossary application is structured to meet the functional requirements of the three core audiences:

A.

Data users

B.

Application users

C.

Innovation users

D.

Business users

E.

Data stewards

F.

Technical users

The term data quality refers to both the characteristics associated with high quality data and to the processes used to measure or improve the quality of data.

A.

TRUE

B.

FALSE

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

A.

TRUE

B.

FALSE

Basic profiling of data involves analysis of:

A.

Data sources, data visualisations, data latency and ownership

B.

Data clusters, data clouds, data repositories and metadata libraries

C.

Data lakes, data warehouses and operational data stores

D.

Data formats, data values, patterns and relationships

E.

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

On example of a transformation process in ETL is:

A.

Re-ordering

B.

Recording

C.

Duping

D.

Servicing

Data management organizational constructs include the following type of model.

A.

Network operating model

B.

Decentralized operating model

C.

Centralized operating model

D.

Federation operating model

E.

Hybrid operating model

F.

Integrated operating model

All organizations have the same Master Data Management Drivers and obstacles.

A.

TRUE

B.

FALSE

Product Master data can only focus on an organization’s internal product and services.

A.

TRUE

B.

FALSE

ISO 8000 will describe the structure and organization of data quality management, including:

A.

Data Quality Assurance

B.

None of the above

C.

Data Quality Planning

D.

Data Quality Audit

E.

Data Quality Control

F.

Data Quality Improvement

It is unwise to implement data quality checks to ensure that the copies of the attributes are correctly stored.

A.

FALSE

B.

TRUE

Page: 4 / 8
Total 725 questions
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