Dama CDMP-RMD Exam Practice Test Instant Access

Question 1

What data architecture component is typically used for ingesting raw source system data?

AIntegration Zone

BLanding Zone

CCuration Zone

DPresentation Zone

EAnalytics Zone

Answer : B

The Landing Zone is typically used for ingesting raw source system data.

Data Architecture Component: The landing zone is where raw data from various source systems is initially collected and stored.

Function: It acts as a staging area before the data undergoes further processing, transformation, or analysis.

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.

CDMP Study Guide

Question 2

What is a registry as it applies to Master Data?

AAn index that points to Master Data in the various systems of record

BAny data available during record creation

CReconciled versions of an organization's systems

DA starling point for matching and linking new records

EA system to identify how data is used for transactions and analytics

Answer : A

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.

DAMA-DMBOK2 Guide: Chapter 10 -- Master and Reference Data Management

'Master Data Management: Creating a Single Source of Truth' by David Loshin

Question 3

The following are examples of entities for which you need to manage master data:

AEmployee Assignment. Employer. Transaction

BParty, Account Balance, Order

CCustomer, Transaction, Product

DCustomer, Product, Employee

EProduct, Order, Inventory

Answer : D

Entities such as Customer, Product, and Employee are typical examples of master data that need to be managed.

Master Data Entities: These are the key data objects around which business transactions are conducted.

Examples:

Customer: Central to sales and service operations.

Product: Essential for inventory and sales management.

Employee: Critical for HR and payroll systems.

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.

CDMP Study Guide

Question 4

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

AEncryption ciphers

BStatic masking

CTrust Model Technologies

DUsage Agreements

EDynamic Masking

Answer : D

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.

DAMA-DMBOK2 Guide: Chapter 11 -- Data Security Management

'Data Masking: A Key Component of a Secure Data Management Strategy' by Anjali Kaushik

Question 5

MOM is most accurately and comprehensively defined in which of the following definitions?

AProcesses that maintain master data

BThe integration of systems of record that can be leveraged by a governance program

CThe creation of a single instance of an attribute across the enterprise as the version of the truth

DA technology foundation for the management of key business entities

EGoverned processes enabled by people and technologies providing Master Data that is understood, trusted, controlled, and fit-for-purpose

Answer : E

Master Data Management (MDM) involves various processes and technologies to ensure that master data is accurate, consistent, and trustworthy. The most comprehensive definition of MDM captures its multi-faceted nature, encompassing governance, technology, and organizational roles.

Governed Processes:

MDM involves establishing governance processes to define policies, standards, and procedures for managing master data.

These processes ensure that data is handled consistently and according to defined rules.

Role of People and Technologies:

Effective MDM requires the involvement of people, including data stewards, data owners, and governance committees, who are responsible for overseeing and managing master data.

Technologies, such as MDM software and tools, facilitate the implementation of governance processes, data integration, data quality management, and synchronization.

Key Objectives:

Master data should be understood by stakeholders, ensuring clarity and common understanding of data definitions and attributes.

Trust in master data is achieved through rigorous data quality and governance practices.

Data should be controlled, meaning that access, usage, and changes to the data are managed and monitored.

Master data must be fit-for-purpose, meeting the specific needs and requirements of the organization's business processes.

DAMA-DMBOK (Data Management Body of Knowledge) Framework

CDMP (Certified Data Management Professional) Exam Study Materials

Question 6

For MDMs. what is meant by a classification scheme?

ACodes that represent a controlled set of values

BA vocabulary view covering a limited range of topics

CDescriptive language used to control objects

DA way of classifying unstructured data

Answer : A

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.

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.

Question 7

The Data Architecture design of an MDM solution must resolve where to leverage what type of relationships?

ATraceable relationships and/or lineage relationships

BData Acquisition relationships

CAffiliation relationships and/or parent-child relationships

DHub and spoke relationships

EOntology relationships and/or epistemology relationships

Answer : C

Data Architecture in MDM Solutions: The design of a Master Data Management (MDM) solution involves defining and managing relationships between data entities.

Types of Relationships:

Traceable relationships and/or lineage relationships: These are important for understanding data provenance and transformations but are more relevant to data governance and data lineage tracking.

Data Acquisition relationships: These pertain to how data is sourced and collected, rather than how master data entities are related.

Affiliation relationships and/or parent-child relationships: These are crucial in MDM as they define how entities are related in hierarchical and associative contexts, such as customer relationships, organizational hierarchies, and product categorizations.

Hub and spoke relationships: This refers to the architecture model for MDM systems rather than the type of data relationship.

Ontology relationships and/or epistemology relationships: These are more abstract and pertain to the nature and categorization of knowledge, not specifically to the functional relationships in MDM.

Conclusion: The correct answer is 'Affiliation relationships and/or parent-child relationships' as these are essential for defining and managing master data relationships in an MDM solution.

DMBOK Guide, sections on Data Architecture and Master Data Management.

CDMP Examination Study Materials.

Dama Reference And Master Data Management CDMP-RMD Exam Practice Test