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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.

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Total 725 questions

How do data management professionals maintain commitment of key stakeholders to the data management initiative?

A.

Talking to a stakeholder when passing them in the passage

B.

Weekly email reports showing metrics on data management progress/lack thereof

C.

Rely on the stakeholder group to be self-sustaining

D.

This is not necessary, stakeholders signed up at the beginning of the program

E.

Continuous communication identifying and promoting the value of data and information assets to the organization

Some common data quality business rule types are:

A.

Definitional conformance

B.

Format compliance

C.

Range conformance

D.

Mapping conformance

Data Governance Office (DGO) focuses on enterprise-level data definitions and data management standards across all DAMA-DMBOK knowledge areas. Consists of coordinating data management roles.

A.

TRUE

B.

FALSE

An organization has a legitimate interest in commercializing data. So why is the economic value of data a core concept of data handling ethics?

A.

It is critical that customers are not exploited in ways that are detrimental to the customer in the long run

B.

In owning data, we have a commitment to society to determine how value can be accessed and who can derive this value

C.

Data is used in every business process. The effectiveness of the process is dependent on the quality of the data it is dependent on

D.

An organization does not own its customer data so it is illegal to monetize the data

E.

Organizations dependent on information to provide product and services that meet Customer and Community needs, must ensure the ethical handling of customer information

Inputs in the data modelling and design context diagram include:

A.

Data standards

B.

Data sets

C.

Data Management Architecture

D.

Systems Architecture

E.

Data architecture

F.

Enterprise taxonomy

Which of the following is a core principle of any Data Governance program?

A.

All metadata should be held in a central Metadata repository acquired for that purpose

B.

Data should be formally owned by the IT Department, who is tasked with leading Data Governance across the organization

C.

All information and data stored by the company should be subject to formal Data Governance

D.

All important company data should be subject to formal business ownership and stewardship and be systematically measured and improved where necessary

E.

Governance of corporate data held on Cloud provider platforms is the sole responsibility of the Cloud provider

Deliverables in the document and content management context diagram include:

A.

Metadata and reference data

B.

Policy and procedure

C.

Data governance

D.

Content and records management strategy

E.

Audit trail and log

F.

Data storage and operations

Risk classifications describe the sensitivity of the data and the likelihood that it might be sought after for malicious purposes.

A.

TRUE

B.

FALSE

Communications are essential to the success of a DMM or Data Governance assessment. Communications are important because:

A.

Communications can influence the socialization and acceptance of the results and implementation of a data management or Data Governance program

B.

Many organizations will overlook the communications aspect of a data management or Data Governance assessment

C.

Findings may affect stakeholder's positions and roles

D.

Each organization will approach data management and Data Governance communications differently

E.

Data management and Data Governance communications are different from each other

One of the key differences between operational systems and data warehouses is:

A.

Operational systems focus on data quality: data warehouses focus on datasecurity

B.

Operational systems focus on historical data; data warehouses contain currentdata

C.

Operational systems are available 24x7; data warehouses are available duringbusiness hours

D.

Operational systems focus on current data; data warehouses contain historicaldata

E.

Operational systems focus on business processes: data warehouses focus onbusiness strategies

Corrective actions are implemented after a problem has occurred and been detected.

A.

FALSE

B.

TRUE

The best preventative action to prevent poor quality data from entering an organisation include:

A.

Institute a formal change control

B.

Define and enforce rules

C.

Implement data governance and stewardship

D.

None of the above

E.

Train data procedures

F.

Establish data entry controls

Business Intelligence tool types include:

A.

Technology reporting

B.

Operational reporting

C.

Descriptive, self-service analytics

D.

Operations performance management (OPM)

E.

Business performance management (BPM)

F.

Predictive, self-service analytics

The ISO 11179 Metadata registry, an international standard for representing Metadata in an organization, contains several sections related to data standards, including naming attributes and writing definitions.

A.

FALSE

B.

TRUE

Domains can be identified in different ways including: data type; data format; list; range; and rule-based.

A.

TRUE

B.

FALSE

Principles for data asset accounting include:

A.

Accounting Principle

B.

Due Diligence Principle

C.

Asset Principle

D.

Audit Principle

E.

Going Concern Principle

F.

All of the above

High quality data definition exhibit three characteristics:

A.

Clearness

B.

Clarity

C.

Accuracy

D.

Completeness

Orchestration is the term used to describe how multiple processes are organized and executed in a system.

A.

TRUE

B.

FALSE

Business glossaries have the following objectives:

A.

Improve the alignment between technology assets and the business organization

B.

All of the above

C.

Cultural factors that might improve the concepts and terminology

D.

Maximise search capability and enable access to documented institutional knowledge

E.

Enable common understanding of the core business concepts and terminology

F.

Reduce the risk that data will be misused due to inconsistent understanding of the business concepts.

In Data Modelling, the generalization of the concept of person and organization into a party enables:

A.

The implementation of relationships between persons and organizations

B.

Single person organizations to be managed consistently

C.

Faster implementation into packages that use the same vocabulary

D.

Them to act in roles in agreements, shared address usages, and common interaction processes

E.

Greater security as users are unaware if this party is a person or an organization

Please select the two classifications of database types:

A.

Centralized

B.

Generic

C.

Distributed

D.

MapReduce

Data flows map and document relationships between data and:

A.

Locations where local differences occur

B.

Situations where local differences occur

C.

Network segments

D.

Applications within a business process

E.

None of the above

F.

All of the above

An organization can enhance its Data Governance program and thereby improve its approach to enterprise data management. This is important for the following reason:

A.

Since most organizations start Data Governance in silos and not at the enterprise level, it is important to be able to assess current state and determine desired targeted state that supports the overall vision

B.

Often organizations have a data repository or dictionary that is just as good as Data Governance

C.

Data Governance programs are rarely enhanced once they are launched

D.

Assessing current state for Data Governance may not tell the organization the current state of other components

E.

Starting a Data Governance program does not require that the organization start a data management program

Value is the difference between the cost of a thing and the benefit derived from that thing.

A.

TRUE

B.

FALSE

SLA Stands for:

A.

Service Level Agreement

B.

System Lifecycle Audit

C.

System Latitude Audit

D.

Service Lifecycle Audit

Data Quality rules and standards are a form of data. To be effective, they need to be managed, as data and rules should be:

A.

Managed outside of the repository and only the results of data quality assessments stored as rules metadata

B.

Documented consistently, tied to business impact, backed by data analysis, and accessible to all data consumers

C.

Organized with metrics so the data stewards can review the data and see what rules apply

D.

Focused on rules that can be integrated into application services

E.

Focused on managing relationships that have gone wrong in the past and may go wrong in the future

Which statement best describes the relationship between documents and records?

A.

Documents and records are the same thing

B.

Documents are written and records are audio

C.

Documents and records are not related

D.

Records are a sub-set of documents

E.

Documents are a sub-set of records

A goal of data governance is to enable an organisation to manage its data as a liability.

A.

TRUE

B.

FALSE

Effective data management involves a set of complex, interrelated processes that enable an organisation to use its data to achieve strategic goals.

A.

TRUE

B.

FALSE

The disclosure of sensitive addresses may occur through:

A.

Inappropriate use of photocopier toner

B.

Ineffective implementation of data architecture

C.

Cloud-based databases

D.

Stored procedures being called directly

E.

Software ignoring privacy tags on the data.

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