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Which DAMA-DMBoK 2 role is accountable for the business meaning of a data element, including its definition, valid values, and quality rules?

Data Steward

Database Administrator

Data Custodian

Data Architect

to track

2026 Statistics

Key Facts: CDMP Exam

100

Exam Questions

DAMA CDMP exam blueprint

90 min

Exam Duration

DAMA CDMP exam blueprint

$311

Exam Fee (USD)

dama.org pricing 2026

60/70/80

Passing Scores (Associate/Practitioner/Master)

DAMA CDMP grading

Honorlock

Online Proctor

DAMA CDMP delivery

3 years

Exam Validity

DAMA recertification policy

120 CEUs

Recertification

DAMA continuing education

DMBoK Knowledge Areas

DAMA-DMBoK 2

DAMA Certified Data Management Professional (CDMP) Fundamentals is a 100-question, 90-minute online-proctored exam delivered through Honorlock. Current pricing is $311 USD per exam. The same Fundamentals exam serves all three credential levels: 60% Associate, 70% Practitioner, 80% Master. Coverage maps directly to the 14 DAMA-DMBoK 2 knowledge areas, with Data Governance, Data Modeling, Data Quality, and Metadata Management each weighted at 11%, followed by Master and Reference Data and Data Warehousing/BI at 10% each. Each passed exam is valid for 3 years and recertification requires 120 CEUs.

Sample CDMP Practice Questions

Try these sample questions to test your CDMP exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which DAMA-DMBoK 2 role is accountable for the business meaning of a data element, including its definition, valid values, and quality rules?

A.Data Steward

B.Database Administrator

C.Data Custodian

D.Data Architect

Explanation: The Data Steward is the business-side role accountable for the meaning, definitions, valid values, and quality of a data element. The DBA and Data Custodian operate the systems that store the data, and the Data Architect designs structures - none of them owns the business definition of the element.

2DMBoK distinguishes between the Data Governance Council and the Data Management Executive. Which best describes the Council?

A.A cross-functional decision-making body that approves policies, standards, and stewardship assignments

B.An IT operations team that runs nightly ETL jobs

C.A vendor-led group that selects database products

D.A regulatory auditor that signs off on every data change

Explanation: DMBoK defines the Data Governance Council as a cross-functional, decision-making body that approves data policies, standards, and stewardship assignments. It is not an operations team, a vendor selection board, or an external auditor - those are separate functions outside governance.

3Which DMBoK governance operating model relies on local stewards in each business unit who coordinate through a central council?

A.Federated

B.Centralized

C.Decentralized

D.Outsourced

Explanation: The federated model places stewards inside business units while a central council coordinates standards and resolves cross-domain conflicts. Centralized governance concentrates authority in a single team, decentralized has no central body, and outsourced delegates governance to a vendor - none of which match this description.

4In DMBoK, what is the primary deliverable of the Data Governance function?

A.Data strategy, policies, standards, and procedures aligned to business objectives

B.Physical database backups stored offsite

C.Source code for ETL jobs

D.Vendor licensing contracts

Explanation: The Data Governance function delivers data strategy, policies, standards, and procedures that align data work with business objectives. Backups, ETL code, and licensing contracts are operational artifacts produced by other DMBoK functions, not governance.

5Which DMBoK environmental factor describes the methods, techniques, and procedures used to perform data management work?

A.Practices and Methods

B.Goals and Principles

C.Tools

D.Roles and Responsibilities

Explanation: Practices and Methods is the DMBoK environmental hexagon factor that captures the techniques and procedures used to do data management work. Goals state intent, Tools list technologies, and Roles describe who does the work - none of those are the methods themselves.

6A new data policy is drafted but the steward of the affected domain has not approved it. Per DMBoK, what is the correct next step?

A.Route the policy to the steward for review and approval before publication

B.Publish the policy because IT has already implemented it

C.Discard the policy and rely on tribal knowledge

D.Escalate directly to the board, bypassing the steward

Explanation: DMBoK requires policies to be reviewed and approved by the accountable stewards before publication. Publishing without steward approval, discarding the policy, or bypassing stewards undermines the governance accountability model.

7Which statement best contrasts a Data Steward with a Data Custodian?

A.The Steward owns business meaning and quality, while the Custodian operates the systems that store the data

B.The Steward writes SQL, while the Custodian writes business definitions

C.Steward and Custodian are interchangeable titles

D.The Steward is a vendor, while the Custodian is an employee

Explanation: Stewards are business-side roles accountable for meaning and quality, while Custodians operate the technology that stores the data. The other options invert the responsibilities, conflate the roles, or invent vendor/employee splits that are not part of DMBoK.

8Which DMBoK artifact catalogs authoritative data definitions, owners, and rules at the enterprise level?

A.Business Glossary

B.Data dictionary for a single application

C.ETL job catalog

D.Hardware asset inventory

Explanation: The Business Glossary holds authoritative business definitions, owners, and rules at the enterprise level. Application data dictionaries are narrower, ETL job catalogs track integrations, and hardware inventories track physical assets - none of them play the glossary role.

9DMBoK distinguishes 'data governance' from 'data management'. Which statement captures the difference?

A.Data governance is the exercise of authority and control over data assets; data management is the execution of plans, policies, and practices

B.Data governance and data management are synonyms

C.Data governance is a tool, while data management is a process

D.Data governance only applies to PII; data management applies to everything

Explanation: DMBoK explicitly defines governance as the authority and control over data assets and management as the execution of plans, policies, and practices. Treating them as synonyms or scoping governance to PII only contradicts the DMBoK definition.

10An organization wants to measure the success of its data governance program. Which metric set best aligns with DMBoK guidance?

A.Policy adoption rate, issue resolution time, steward coverage, and value of decisions enabled

B.Number of databases backed up nightly

C.Average CPU utilization on the data warehouse

D.Total dollars spent on storage hardware

Explanation: DMBoK recommends governance metrics tied to policy adoption, issue resolution, steward coverage, and the business value of decisions enabled. Backup counts, CPU utilization, and storage spend are infrastructure metrics that do not measure governance.

About the CDMP Exam

The CDMP Fundamentals exam from DAMA International validates working knowledge of all 14 knowledge areas in the DAMA-DMBoK 2: Data Governance, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Data Integration and Interoperability, Document and Content Management, Reference and Master Data, Data Warehousing and BI, Metadata Management, Data Quality, Big Data and Data Science, Data Management Maturity Assessment, and Data Ethics.

Questions

100 scored questions

Time Limit

90 minutes

Passing Score

60% Associate / 70% Practitioner / 80% Master

Exam Fee

$311 (DAMA International)

CDMP Exam Content Outline

11%

Data Governance

Stewardship roles, governance operating models, policies and standards, the DMBoK governance framework, and the data governance council.

11%

Data Modeling and Design

Conceptual, logical, and physical models; ERD notations (IE, IDEF1X, UML); normalization; dimensional modeling; and naming standards.

11%

Data Quality

DQ dimensions (completeness, accuracy, consistency, timeliness, uniqueness, validity), DQ rules, DMAIC, root-cause analysis, and remediation.

11%

Metadata Management

Business, technical, operational metadata; lineage; metadata repositories and architectures (centralized, distributed, hybrid); CWM.

10%

Master and Reference Data Management

Golden records, MDM architectures (registry, consolidation, coexistence, transactional), reference data, match-merge, and identity resolution.

10%

Data Warehousing and Business Intelligence

Inmon CIF vs. Kimball dimensional models; star and snowflake schemas; ETL/ELT; slowly changing dimensions; OLAP and BI delivery.

Data Architecture

Enterprise data architecture, Zachman framework, data flow diagrams, value chains, and the relationship to TOGAF and enterprise architecture.

Document and Content Management

Records management, ECM, retention schedules, e-discovery, ARMA GARP principles, taxonomies, and unstructured-content lifecycles.

Data Integration and Interoperability

ETL, ELT, CDC, ESB, message queues, replication, virtualization, canonical models, and enterprise application integration patterns.

Data Security

Confidentiality, integrity, availability; classifications; access controls (RBAC, ABAC); encryption; privacy regulations (GDPR, HIPAA, CCPA).

Data Storage and Operations

DBA roles, database technologies (relational, NoSQL, columnar), backup and recovery, performance tuning, and data lifecycle in operations.

Big Data and Data Science

Volume, velocity, variety, veracity; Hadoop and Spark; data lakes and lakehouses; analytics maturity and data-science workflows.

Data Ethics

Ethical handling of data, bias, fairness, transparency, the Belmont principles applied to data, and the DMBoK data-ethics framework.

Data Management Process and Maturity

DMBoK environmental factors hexagon, CMMI-DMM, EDM Council DCAM, and other maturity-assessment frameworks.

How to Pass the CDMP Exam

What You Need to Know

Passing score: 60% Associate / 70% Practitioner / 80% Master
Exam length: 100 questions
Time limit: 90 minutes
Exam fee: $311

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

CDMP Study Tips from Top Performers

1Use the DAMA-DMBoK 2 (the Big Yellow Book) as your primary source - the CDMP Fundamentals exam is written directly against its 14 knowledge-area chapters.

2Memorize the four 11% knowledge areas (Governance, Modeling, Quality, Metadata) - together they account for 44 of 100 questions and decide whether you reach Practitioner or Master level.

3Learn the DMBoK environmental factors hexagon (Goals, Activities, Roles, Deliverables, Practices/Methods, Tools) - it appears across multiple knowledge areas.

4Be fluent in both Inmon (Corporate Information Factory, normalized EDW) and Kimball (dimensional, conformed dimensions) - distractors routinely mix the two.

5Practice classifying scenarios into the four MDM architectures (Registry, Consolidation, Coexistence, Transactional) and know which writes back to source.

6Memorize the six DQ dimensions (Completeness, Accuracy, Consistency, Timeliness, Uniqueness, Validity) and a one-sentence definition for each.

7Know the three metadata repository architectures (centralized, distributed, hybrid) and the difference between business, technical, and operational metadata.

8Review the DMBoK governance framework, the difference between data stewards and data custodians, and how the data governance council differs from the data management executive.

Frequently Asked Questions

What is the CDMP Fundamentals exam?

The Certified Data Management Professional (CDMP) Fundamentals exam from DAMA International tests working knowledge of all 14 DAMA-DMBoK 2 knowledge areas. It is the entry exam for every CDMP credential and the only exam an Associate-level candidate must pass.

How many questions are on the CDMP exam and how long is it?

CDMP Fundamentals is 100 multiple-choice questions delivered in 90 minutes. ESL candidates can purchase an extended-time version that adds 20 minutes.

What is the passing score for CDMP?

The same Fundamentals exam serves all three CDMP levels. 60% earns Associate certification, 70% earns Practitioner level (when paired with two additional 70% specialty exams), and 80% earns Master level (when paired with two additional 80% specialty exams plus the master experience assessment).

How much does the CDMP exam cost?

The CDMP Fundamentals exam is $311 USD per attempt. Practitioner and Master candidates pay $311 USD per specialty exam, and Master candidates also pay $50 USD for the experience assessment. DAMA also runs a Pay If You Pass program that defers the fee until you pass.

Who administers and proctors the CDMP exam?

DAMA International administers the CDMP. Online exams are proctored 24/7 by Honorlock with no booking required, so candidates can sit the exam on demand once enrolled.

How long is the CDMP credential valid?

Each passed CDMP exam is valid for 3 years from the date the badge is issued. Maintaining certified status requires 120 approved continuing-education contact hours over each 3-year cycle plus an annual recertification fee.