CDMP-RMD Exam Questions and Answers

QUESTION: 6

What is a registry as it applies to Master Data?

An index that points to Master Data in the various systems of record
Any data available during record creation
Reconciled versions of an organization's systems
A starling point for matching and linking new records
A system to identify how data is used for transactions and analytics

Answer(s): A

Explanation:

A registry in the context of Master Data Management (MDM) is a centralized index that maintains pointers to master data located in various systems of record. This type of architecture is commonly referred to as a "registry" model and allows organizations to create a unified view of their master data without consolidating the actual data into a single repository. The registry acts as a directory, providing metadata and linkage information to the actual data sources.

Reference:

DAMA-DMBOK2 Guide: Chapter 10 Master and Reference Data Management "Master Data Management: Creating a Single Source of Truth" by David Loshin

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QUESTION: 7

The concept of tracking the number of MDM subject areas and source system attributes Is referred to as:

Publish and Subscribe
Hub and Spoke
Mapping and Integration
Subject Area and Attribute
Scope and Coverage

Answer(s): D

Explanation:

Tracking the number of MDM subject areas and source system attributes refers to defining the scope and coverage of the subject areas and attributes involved in an MDM initiative. This process includes identifying all the data entities (subject areas) and the specific attributes (data elements) within those entities that need to be managed across the organization. By establishing a clear scope and coverage, organizations can ensure that all relevant data is accounted for and appropriately managed.

Reference:

DAMA-DMBOK2 Guide: Chapter 10 Master and Reference Data Management "Master Data Management and Data Governance" by Alex Berson, Larry Dubov

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QUESTION: 8

All of the following methods arc a moans to protect and secure master data In a production environment except for which of the following?

Encryption ciphers
Static masking
Trust Model Technologies
Usage Agreements
Dynamic Masking

Answer(s): D

Explanation:

Protecting and securing master data in a production environment can be achieved through various methods. Encryption ciphers, static masking, trust model technologies, and dynamic masking are all techniques used to safeguard data. However, usage agreements, while important for data governance and legal compliance, are not a technical method for securing data in the same way that the other options are. Usage agreements define the terms under which data can be accessed and used, but they do not directly protect the data itself.

Reference:

DAMA-DMBOK2 Guide: Chapter 11 Data Security Management "Data Masking: A Key Component of a Secure Data Management Strategy" by Anjali Kaushik

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QUESTION: 9

Managing master data elements can be performed at which of the following points?

Third-party Provider (e.g. D&B)
Enterprise
Application Suite (e.g. ERP)
All Answers are correct

Answer(s): D

Explanation:

Managing master data elements can be performed at multiple levels within an organization. This includes third-party providers such as Dun & Bradstreet (D&B) which can supply enriched and standardized master data. At the enterprise level, organizations manage master data centrally to ensure consistency and quality across all systems and processes. Within application suites such as ERP (Enterprise Resource Planning) systems, master data management ensures that data is consistent and accurate within and across different applications. Therefore, master data elements can be managed at all these points.

Reference:

DAMA-DMBOK2 Guide: Chapter 10 Master and Reference Data Management "The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling" by Ralph Kimball

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QUESTION: 10

Which of the following is a method of deterministic matching?

Sorted Neighborhood
Regional Frequency
Editing Distance
Phonetic
Exact string match

Answer(s): E

Explanation:

Deterministic matching is a method of record linkage that relies on exact matching criteria. This means that records are considered a match if certain key fields (e.g., name, Social Security Number) have exactly the same values. Exact string match is a straightforward example of deterministic matching, where the strings in specific fields must be identical for a match to be declared. Other methods like sorted neighborhood, regional frequency, editing distance, and phonetic matching are probabilistic or heuristic approaches that allow for some degree of variation or error in the data.

Reference:

DAMA-DMBOK2 Guide: Chapter 10 Master and Reference Data Management "Entity Resolution and Information Quality" by John R. Talburt

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Dama CDMP-RMD Exam (page: 2) Dama Reference And Master Data Management Updated on: 25-Dec-2025

QUESTION: 6

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QUESTION: 7

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QUESTION: 8

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QUESTION: 9

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QUESTION: 10

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Dama CDMP-RMD Exam (page: 2)
Dama Reference And Master Data Management
Updated on: 25-Dec-2025