DAMA CDMP Associate Practice Test

CDMP Associate preparation should confirm that you can use core DAMA vocabulary in realistic data-management decisions, not only recognize terms in isolation.

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

What this route should test

• applying data governance, stewardship, quality, metadata, and lifecycle concepts to scenarios
• identifying the right data-management domain for a problem
• avoiding tool-first answers when the issue is ownership, definition, quality, or policy

Official-source check

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

Sample Exam Questions

Question 1

Topic: domain selection

A dashboard shows different revenue numbers for the same month because teams define “booked revenue” differently. What is the best first focus?

• A. Business glossary, definitions, stewardship, and governance decision rights
• B. New chart colors
• C. More laptops
• D. Removing all dashboards

Best answer: A

Explanation: Conflicting meaning is a governance and metadata problem. Tool changes will not fix inconsistent business definitions.

Question 2

Topic: stewardship

Which responsibility best fits a business data steward?

• A. Own every database server
• B. Help define, monitor, and resolve issues around data meaning and quality
• C. Replace all business owners
• D. Avoid policy discussions

Best answer: B

Explanation: Business stewardship focuses on meaning, quality, ownership, and data-use expectations.

Question 3

Topic: metadata management

What metadata is most useful for report trust?

• A. Lineage, definition, owner, refresh timing, source, and transformation notes
• B. Only the report title font
• C. Only the author’s nickname
• D. No metadata

Best answer: A

Explanation: Trust improves when users can see where data came from, what it means, who owns it, and how it changes.

Question 4

Topic: data quality

Customer records have missing postal codes and inconsistent province names. Which action is most appropriate?

• A. Define quality rules, ownership, remediation steps, and prevention controls
• B. Ignore the issue because records exist
• C. Delete all customers
• D. Rename the dashboard

Best answer: A

Explanation: Quality work needs rules, measurement, correction, and prevention. It should not be only a one-time cleanup.

Question 5

Topic: data lifecycle

Which decision best fits lifecycle management?

• A. How long records are retained, when they are archived, and when disposal is allowed
• B. Which office snacks to buy
• C. Which meeting room is used
• D. Which logo appears in the header

Best answer: A

Explanation: Lifecycle management includes retention, archiving, disposal, and policy compliance.

Question 6

Topic: architecture impact

A new analytics platform will ingest customer, transaction, and product data from several systems. What should be reviewed early?

• A. Data architecture, integration, ownership, quality, security, lineage, and metadata needs
• B. Only the platform name
• C. Only the number of slides
• D. Nothing until after launch

Best answer: A

Explanation: Multi-source analytics requires architecture and governance planning before data becomes unreliable or hard to control.

Question 7

Topic: master data

Why might a customer master be needed?

• A. To create a consistent shared customer identity across systems and processes
• B. To eliminate all data quality work
• C. To avoid access control
• D. To replace every transaction record

Best answer: A

Explanation: Customer master data can reduce duplication and inconsistency across systems.

Question 8

Topic: governance escalation

When should a data issue be escalated to governance?

• A. When ownership, policy, definition, risk, or cross-functional impact cannot be resolved locally
• B. Whenever a chart color changes
• C. Only after all reports are deleted
• D. Never

Best answer: A

Explanation: Governance handles decisions that require authority, cross-functional agreement, policy, or risk acceptance.

Question 9

Topic: data security

Which approach is strongest for sensitive customer data?

• A. Classify the data, define approved uses, restrict access, monitor activity, and apply retention rules
• B. Give everyone access to avoid requests
• C. Remove logging
• D. Ignore data sharing

Best answer: A

Explanation: Sensitive data management needs classification, access controls, monitoring, use restrictions, and lifecycle policy.

Question 10

Topic: data modeling

Why is conceptual data modeling useful?

• A. It clarifies key business entities and relationships before physical implementation
• B. It replaces stakeholder discussion
• C. It is only a performance-tuning tool
• D. It hides business meaning

Best answer: A

Explanation: Conceptual modeling helps align business understanding before logical and physical models are designed.

Question 11

Topic: metrics

Which metric is a useful data-quality measure?

• A. Percentage of customer records with valid required contact fields
• B. Number of meeting invites
• C. Desk height
• D. Number of slide animations

Best answer: A

Explanation: A measurable quality metric connects to rules and expected data fitness for use.

Question 12

Topic: common trap

Which answer is weakest for an associate-level data management scenario?

• A. Start with ownership, definitions, quality rules, and policy.
• B. Consider data architecture and lifecycle impact.
• C. Buy a tool first and assume governance will happen automatically.
• D. Clarify stewardship roles.

Best answer: C

Explanation: Tools can help, but data management problems often require governance, ownership, definitions, and process discipline.