Free PDF DAMA - CDMP-RMD - Reference And Master Data Management Exam Authoritative Reliable Test Sims

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DAMA CDMP-RMD Exam Syllabus Topics:

Topic	Details
Topic 1	Reference Data Management (RDM) Lifecycle: The lifecycle of reference data management is covered in this topic.
Topic 2	Fundamentals of Reference and Master Data: The fundamental ideas of reference and master data are covered in this section, along with their definitions, distinctions, and significance in data management.
Topic 3	MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.
Topic 4	Data Architecture: The design and implementation of data architecture for reference and master data are covered in detail in this topic. It addresses concepts including integration, standardization, and data modeling.
Topic 5	Data Governance: The function of data governance in reference and master data management is examined in this section. It addresses policies, accountability, and data ownership.

DAMA Reference And Master Data Management Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
Which of the following is NOT a Reference & Master Data activity?

A. Evaluate and Assess Data Sources
B. Define Architectural Approach
C. Establish Governance Policies
D. Manage the Lifecycle
E. Model Data

Answer: A

Explanation:
Activities related to Reference & Master Data typically include managing the lifecycle, establishing governance policies, modeling data, and defining architectural approaches. However, evaluating and assessing data sources is generally not considered a core activity specific to Reference & Master Data management.
Here's a detailed explanation:
* Core Activities:
* Manage the Lifecycle: Involves overseeing the entire lifecycle of master data, from creation to retirement.
* Establish Governance Policies: Setting up policies and procedures to govern the management
* and use of master data.
* Model Data: Creating data models that define the structure and relationships of master data entities.
* Define Architectural Approach: Developing the architecture that supports master data management, including integration and data quality frameworks.
* Excluded Activity:
* Evaluate and Assess Data Sources: While this is an important activity in data management, it is more relevant to data acquisition and integration rather than the ongoing management of reference and master data.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"

NEW QUESTION # 32
An organization chart where a high level manager has department managers with staff and non-managers without staff as direct reports would best be maintained in which of the following?

A. A data dictionary
B. A ragged hierarchy
C. A taxonomy
D. A fixed level hierarchy
E. A reference file

Answer: B

Explanation:
A ragged hierarchy is an organizational structure where different branches of the hierarchy can have varying levels of depth. This means that not all branches have the same number of levels. In the given scenario, where a high-level manager has department managers with staff and non-managers without staff as direct reports, the hierarchy does not have a uniform depth across all branches. This kind of structure is best represented and maintained as a ragged hierarchy, which allows for flexibility in representing varying levels of managerial relationships and reporting structures.
References:
* DAMA-DMBOK2 Guide: Chapter 7 - Data Architecture Management
* "Master Data Management and Data Governance" by Alex Berson, Larry Dubov

NEW QUESTION # 33
What is a registry as it applies to Master Data?

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

Answer: E

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

NEW QUESTION # 34
A global identifier is used to:

A. Link two or more non-equivalent references to the same entity
B. Link two or more equivalent columns to the same report
C. Link two or more systems by the same identifier
D. Link two or more equivalent references to the same entity
E. Link two or more equivalent references to the same system or database

Answer: D

Explanation:
A global identifier is used to link multiple references to the same entity across different systems or datasets.
Here's why:
* Purpose of Global Identifier:
* Unique Identification: Provides a unique identifier that can be used to recognize the same entity across disparate systems and datasets.
* Consistency: Ensures that different references or records pointing to the same entity are consistently identified and managed.
* Linking Equivalent References:
* Equivalent References: Global identifiers link references that are equivalent, meaning they represent the same real-world entity even if the data is stored differently in various systems.
* Entity Resolution: Helps in resolving different records to a single entity, ensuring data consistency and accuracy.
* Example:
* Customer Records: A customer might be listed in different systems (CRM, billing, support) with slightly different details. A global identifier links these records to recognize them as the same customer.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"

NEW QUESTION # 35
Where is the most time/energy typically spent tor any MDM effort?

A. Publishing content to the MDM environment
B. Subscribing content from the MDM environment
C. Securing funding for the MDM effort
D. Designing the Enterprise Data Model
E. Vetting of business entities and data attributes by Data Governance process

Answer: E

Explanation:
In any Master Data Management (MDM) effort, the most time and energy are typically spent on vetting business entities and data attributes through the Data Governance process. This step ensures that the data is accurate, consistent, and adheres to defined standards and policies. Itinvolves significant collaboration and decision-making among stakeholders to validate and approve the data elements to be managed.
References:
* 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.

NEW QUESTION # 36
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FREE PDF DAMA - CDMP-RMD - REFERENCE AND MASTER DATA MANAGEMENT EXAM AUTHORITATIVE RELIABLE TEST SIMS

Free PDF DAMA - CDMP-RMD - Reference And Master Data Management Exam Authoritative Reliable Test Sims