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Dama CDMP-RMD Exam (page: 1)
Dama Reference And Master Data Management
Updated on: 07-Nov-2025

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CDMP-RMD PDF 100 Questions

The following is a technique that you can find useful when implementing your Reference and Master program:

  1. Business key cross references
  2. Root Cause Analysis
  3. Process Management
  4. None of the answers is correct
  5. Extract Transformation Load (ETL)

Answer(s): A

Explanation:

When implementing a Reference and Master Data Management (RMDM) program, it is crucial to utilize techniques that ensure consistency, accuracy, and reliability of data across various systems. Business key cross-references is one such technique. This technique involves creating a mapping between different identifiers (keys) used across systems to represent the same business entity. This mapping ensures that data can be accurately and consistently referenced, integrated, and analyzed across different systems.


Reference:

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
"Master Data Management and Data Governance" by Alex Berson and Larry Dubov, which emphasizes the importance of business key cross-referencing in MDM.



Which of the following is NOT ,1 characteristic of n deterministic matching algorithm?

  1. Is better suited when there is no great consequence to an error in matching
  2. Is not highly dependent on the quality of the data being matched
  3. Has a discrete all or nothing outcome
  4. Matches exact character to character of one or more fields
  5. All identifiers being matched have equal weight

Answer(s): B

Explanation:

Deterministic matching algorithms rely on exact matches between data fields to determine if records are the same. These algorithms require high-quality data because any discrepancy, such as typographical errors or variations in data entry, can prevent a match.
Characteristics of deterministic matching:
It has a discrete all or nothing outcome (C).
It matches exact character to character of one or more fields (D).
All identifiers being matched have equal weight (E).
Since deterministic matching is highly dependent on the quality of the data being matched, option B is incorrect.


Reference:

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
"Master Data Management and Data Governance" by Alex Berson and Larry Dubov.



Within the Corporate Information Factory, what data is used to understand transactions?

  1. Master Data and Unstructured Data
  2. Internal Data. Physical Schemas
  3. Master Data. Reference Data, and External Data
  4. Reference Data and Vendor Data
  5. Security Data and Master Data

Answer(s): C

Explanation:

In the context of the Corporate Information Factory, understanding transactions involves integrating various types of data to get a comprehensive view. Master Data (core business entities), Reference Data (standardized information), and External Data (information sourced from outside the organization) are essential for providing context and enriching transactional data.


Reference:

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 3: Data Architecture and Chapter 11: Reference and Master Data Management.

"Building the Data Warehouse" by W.H. Inmon, which introduces the Corporate Information Factory concept.



For MDMs. what is meant by a classification scheme?

  1. Codes that represent a controlled set of values
  2. A vocabulary view covering a limited range of topics
  3. Descriptive language used to control objects
  4. A way of classifying unstructured data

Answer(s): A

Explanation:

In Master Data Management (MDM), a classification scheme refers to a structured way of organizing data by using codes that represent a controlled set of values. These codes help in categorizing and standardizing data, making it easier to manage, search, and analyze.


Reference:

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
"Master Data Management and Data Governance" by Alex Berson and Larry Dubov.



Information Governance is a concept that covers the 'what', how', and why' pertaining to the data assets of an organization. The 'what', 'how', and 'why' are respectively handled by the following functional areas:

  1. Data Management. Information Technology, and Compliance
  2. Customer Experience. Information Security, and data Governance
  3. Data Governance. Information Technology, and Customer Experience
  4. Data Governance. Information Security, and Compliance
  5. Data Management, Information Security, and Customer Experience

Answer(s): D

Explanation:

Information Governance involves managing and controlling the data assets of an organization, addressing the 'what', 'how', and 'why'.
'What' pertains to Data Governance, which defines policies and procedures for data management. 'How' relates to Information Security, ensuring that data is protected and secure. 'Why' is about Compliance, ensuring that data management practices meet legal and regulatory requirements.


Reference:

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 1: Data Governance.

"Information Governance: Concepts, Strategies, and Best Practices" by Robert F. Smallwood.



Viewing Page 1 of 21



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