CDMP study guide

CDMP · Work through your exam, one topic at a time.

The Certified Data Management Professional (CDMP®) is a data management certification program run by DAMA International®, a not-for-profit association that describes itself as the certifying body for the CDMP®. The credential is built around three progressive levels - Associate, Practitioner and Master - which DAMA states reflect knowledge of data management practices, experience applying them, and professional development goals, and which are "progressive in depth-not tied to job titles or organizational rank." Associate is positioned for students and early-career professionals building a foundation; Practitioner for people actively working in areas such as data governance, data quality, metadata, architecture, modeling or stewardship; and Master for experienced professionals who lead or significantly influence data management capabilities in their organizations. The CDMP study guide has 8 sections and about 3,954 words.

Data Management Fundamentals (DMF)

This domain tests the vocabulary and framework that the rest of CDMP assumes: what data management is, which functions make it up, and how they interlock. Expect definitional questions, questions that map a business scenario to a DAMA knowledge area, and questions about roles, lifecycle, and maturity.

511 words, about 3 min 02

Data Modeling and Design

This domain tests whether you can turn requirements into a precise, usable model and explain why each modeling choice was made. Questions cluster around model levels, notation, keys and relationships, normalization, dimensional design, and model quality review.

468 words, about 2 min 03

Metadata

Metadata is the domain most often under-estimated by candidates: it looks descriptive but is the mechanism by which data becomes findable, trusted, and change-safe. The exam tests metadata types, repositories and catalogs, standards, lineage and impact analysis, and the operating processes that keep metadata current.

493 words, about 2 min 04

Data Quality

Data Quality questions test dimensions, measurement, root-cause analysis, and control. The examiner wants to see that you can define a metric precisely, profile data before cleansing it, and build controls that prevent recurrence rather than running one-off cleanups.

471 words, about 2 min 05

Data Governance

This domain tests authority, decision rights, and accountability. The exam asks you to distinguish governance from management, design an operating model, place roles correctly, and show how policies become enforceable standards.

479 words, about 2 min 06

Data Warehousing & Business Intelligence

This domain tests the warehouse as a governed, integrated analytical environment: architecture, dimensional design, load patterns, and how BI delivers trusted information. Expect questions on schemas, slowly changing dimensions, fact table types, and the boundary between warehouse, mart, lake, and ODS.

514 words, about 3 min 07

Reference and Master Data Management

This domain tests the data that other systems depend on: shared business entities and controlled value lists. Questions focus on the difference between reference and master data, matching and survivorship, MDM implementation styles, and the governance that makes a golden record credible.

512 words, about 3 min 08

Data Integration and Interoperability

This domain tests how data moves and how systems exchange meaning, not just bytes. Expect questions on integration patterns and their trade-offs, latency and batch versus streaming, interoperability levels, and the metadata and quality controls that keep integration trustworthy.

506 words, about 3 min