DAMA CDMP Fundamentals Practice Test

DAMA CDMP Fundamentals preparation is broad data-management preparation: governance, quality, architecture, modeling, metadata, lifecycle, security, integration, warehousing, reference data, and stewardship.

These 12 original questions are a public preview, not official DAMA questions.

What this route should test

• recognizing DAMA-style data management domains and how they interact
• distinguishing governance, stewardship, data quality, architecture, and metadata responsibilities
• applying data-management vocabulary to practical organizational scenarios

Official-source check

Verify current certification names, exam policies, and requirements with the DAMA CDMP certification page .

Sample Exam Questions

Question 1

Topic: data governance

What is the strongest purpose of data governance?

• A. To make data-related decisions, accountability, policies, and standards explicit
• B. To let every team define customer differently
• C. To remove stewardship
• D. To replace all data architecture

Best answer: A

Explanation: Governance establishes decision rights, accountability, policies, and standards. It enables consistent data management across the organization.

Question 2

Topic: stewardship

What does a data steward typically support?

• A. Only server patching
• B. Business meaning, quality expectations, issue resolution, and policy adoption for data
• C. No data definitions
• D. Random dashboard colors

Best answer: B

Explanation: Stewardship focuses on business ownership, meaning, quality, and responsible use of data.

Question 3

Topic: data quality

Which pair is most directly related to data quality?

• A. Font and color
• B. Accuracy and completeness
• C. Office location and lunch menu
• D. Keyboard brand and chair height

Best answer: B

Explanation: Data quality dimensions can include accuracy, completeness, consistency, timeliness, validity, and uniqueness.

Question 4

Topic: metadata

Why is metadata important?

• A. It helps explain data meaning, origin, structure, lineage, ownership, and use
• B. It eliminates governance
• C. It proves data is always correct
• D. It replaces all source systems

Best answer: A

Explanation: Metadata describes data and makes it easier to understand, govern, trust, and use.

Question 5

Topic: data architecture

Which question belongs in data architecture?

• A. How data is structured, integrated, stored, governed, and used across systems
• B. Which snack is in the break room
• C. Which meeting has the shortest title
• D. Which font is more popular

Best answer: A

Explanation: Data architecture addresses the organization, integration, flow, and management of data across the enterprise.

Question 6

Topic: master data

What is master data?

• A. Core shared business entities such as customer, product, supplier, or account
• B. Any temporary log file
• C. A single email subject
• D. A password hint

Best answer: A

Explanation: Master data represents important shared entities used across processes and systems.

Question 7

Topic: data lifecycle

Which lifecycle sequence is most reasonable?

• A. Create, store, use, share, archive, and dispose according to policy
• B. Use forever with no retention rules
• C. Delete before creation
• D. Hide data quality issues

Best answer: A

Explanation: Data lifecycle management considers how data is created, stored, used, retained, archived, and disposed.

Question 8

Topic: reference data

Which example is reference data?

• A. Standard country codes used across applications
• B. A one-time meeting note
• C. A temporary draft email
• D. A random password

Best answer: A

Explanation: Reference data is controlled value-set data used to categorize or standardize other data.

Question 9

Topic: lineage

Why does lineage matter?

• A. It helps explain where data came from, how it changed, and where it is used
• B. It hides transformations
• C. It removes auditability
• D. It proves every report is wrong

Best answer: A

Explanation: Lineage supports trust, audit, debugging, compliance, and impact analysis.

Question 10

Topic: privacy and security

Which data-management decision supports privacy and security?

• A. Classifying sensitive data and defining controls based on use and risk
• B. Giving everyone unrestricted access
• C. Removing retention policy
• D. Ignoring data sharing

Best answer: A

Explanation: Classification helps define appropriate protection, access, retention, and handling rules.

Question 11

Topic: issue management

What should happen when a recurring data-quality issue is found?

• A. Identify root cause, owner, impact, remediation, and governance escalation if needed
• B. Hide the issue
• C. Blame the report user only
• D. Delete the metric

Best answer: A

Explanation: Data-quality improvement requires ownership, root-cause analysis, remediation, and sometimes policy or process change.

Question 12

Topic: common trap

Which statement is weakest?

• A. Data governance and data management require business participation.
• B. Metadata supports understanding and trust.
• C. Data management is only database administration.
• D. Data quality has measurable dimensions.

Best answer: C

Explanation: Database administration is one technical area, but CDMP Fundamentals covers a broader data-management discipline.