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DAMA CDMP-RMD Exam Syllabus Topics:

Topic	Details
Topic 1	MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.
Topic 2	Data Stewardship: The management of reference and master data by data stewards is the focal point of this topic. It addresses concepts such as accuracy, consistency, and quality of data.
Topic 3	Data Quality Management: The methods and procedures for guaranteeing the quality of reference and master data are examined in this topic. Moreover, it focuses on validation, monitoring, and data cleansing.
Topic 4	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 5	Master Data Management (MDM) Lifecycle: The phases of the MDM lifecycle such as planning, design, implementation, and continuous operation are covered in this section.
Topic 6	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.
Topic 7	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.

DAMA Reference And Master Data Management Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
An organization's master data can be acquired from an external third-party?

A. False
B. True

Answer: B

Explanation:
An organization's master data can indeed be acquired from external third parties. Here's how and why:
* Third-Party Data Acquisition:
* Enrichment: External data sources can be used to enrich an organization's master data, providing additional details and context.
* Accuracy and Completeness: Acquiring data from reputable third-party sources can enhance the accuracy and completeness of master data.
* Use Cases:
* Market Data: Organizations may purchase market data to complement their internal customer or product data.
* Reference Data: Common reference data, such as postal codes or industry classifications, are often obtained from external providers.
* Integration:
* Data Integration: Master data acquired from third parties needs to be integrated into the organization's MDM system, ensuring it aligns with existing data standards and governance policies.
* 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 # 85
What item listed will be determined by Reference & Master Data governance processes?

A. None of these
B. Data change activity
C. Data sharing volume and usage
D. Total cost of ownership
E. Service level agreements

Answer: B

Explanation:
Reference and Master Data Management (RMDM) governance processes are designed to manage and ensure the accuracy, consistency, and quality of critical data assets across an organization. These processes focus on defining, maintaining, and governing the shared data entities and attributes that are essential for various business processes. One of the key aspects governed by RMDM is "Data change activity."
* Reference and Master Data Definition:
* Reference data is a subset of master data used to classify or categorize other data within an organization. It typically includes codes and descriptions.
* Master data refers to the critical business information regarding the core entities around which business is conducted, such as customers, products, employees, and suppliers.
* Data Change Activity:
* This involves tracking and managing the changes made to master and reference data over time.
The governance processes ensure that any changes to this data are properly authorized, recorded, and communicated to relevant stakeholders.
* Managing data change activity includes monitoring modifications, updates, additions, and deletions of reference and master data.
* Importance in Governance:
* Effective governance of data change activity ensures that the integrity and quality of master data are maintained. It prevents unauthorized changes that could lead to data inconsistencies and inaccuracies.
* It supports audit trails and compliance with regulatory requirements by providing transparency and accountability for data changes.

NEW QUESTION # 86
What is a registry as it applies to Master Data?

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

Answer: B

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 # 87
Choosing unreliable sources for data, which can cause data quality issues, is a result of:

A. Too much data
B. Weak Master Data Management
C. Too little data
D. No chance controls
E. Immature data architecture

Answer: B

Explanation:
Choosing unreliable sources for data can lead to significant data quality issues. This problem is often a symptom of underlying issues in data management practices.
* Too Much Data:
* While having excessive data can create challenges, it is not directly related to the reliability of data sources.
* Immature Data Architecture:
* An immature data architecture can contribute to various data issues, but it specifically relates to the overall design and infrastructure rather than the selection of data sources.
* Weak Master Data Management (MDM):
* MDM is crucial for ensuring data quality and consistency. Weak MDM practices can lead to poor data governance, lack of standardization, and the use of unreliable data sources.
* Effective MDM involves establishing strong governance policies, data stewardship, and validation processes to ensure data is sourced from reliable and authoritative sources.
* Too Little Data:
* Insufficient data can be problematic but is not directly related to choosing unreliable data sources.
* No Chance Controls:
* This option is not a standard term in data management and does not directly address the issue of data source reliability.

NEW QUESTION # 88
A global identifier is used to:

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

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 # 89
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UNPARALLELED DAMA - EXAM CDMP-RMD PRICE

Unparalleled DAMA - Exam CDMP-RMD Price