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DAMA CDMP-RMD Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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 5	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 6	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.

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DAMA Reference And Master Data Management Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
What characteristics does Reference data have that distinguish it from Master Data?

A. It is more volatile and needs to be highly structured
B. It provides data for transactions
C. It is always data from an outside source such as a governing body
D. It always has foreign database keys to link it to other data
E. It is less volatile, less complex, and typically smaller than Master Data sets

Answer: D

Explanation:
Reference data and master data are distinct in several key characteristics. Here's a detailed explanation:
* Reference Data Characteristics:
* Stability: Reference data is generally less volatile and changes less frequently compared to master data.
* Complexity: It is less complex, often consisting of simple lists or codes (e.g., country codes, currency codes).
* Size: Reference data sets are typically smaller in size than master data sets.
* Master Data Characteristics:
* Volatility: Master data can be more volatile, with frequent updates (e.g., customer addresses, product details).
* Complexity: More complex structures and relationships, involving multiple attributes and entities.
* Size: Larger in size due to the detailed information and numerous entities it encompasses.
* 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 # 44
Which of the following are reasons why marketing is important to a MDM program?

A. Helps ensure long-term sustainability of program
B. All of the above
C. Encourages sources to onboard their master data to MDM Inventory
D. Helps to grow the base of subscribers
E. Promotes benefits to leadership

Answer: B

Explanation:
Marketing is crucial to the success of a Master Data Management (MDM) program for several reasons:
* Encouraging Onboarding:
* Master Data Onboarding: Effective marketing strategies can encourage different data sources to integrate their master data into the MDM system, ensuring comprehensive data coverage.
* Promoting Benefits to Leadership:
* Leadership Buy-in: Marketing the benefits of MDM to organizational leadership can secure necessary support and resources for the program. Highlighting efficiencies, cost savings, and improved decision-making can be persuasive.
* Growing Subscriber Base:
* User Engagement: Promoting the MDM program can help grow the base of subscribers and users who rely on the master data, ensuring the data is used effectively across the organization.
* Ensuring Long-term Sustainability:
* Sustainability: Continuous marketing helps maintain interest and investment in the MDM program, ensuring its long-term sustainability and relevance within the organization.
* 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 # 45
The MDM program's governance scope should include:

A. Data sources of the master data Q All of the above
B. Internal data subscribers to the master data
C. External third parties using Master Data
D. Master Data authored in the MDM user interface

Answer: A

Explanation:
The governance scope of an MDM program should be comprehensive, encompassing all aspects and stakeholders involved in the management and usage of master data.
* Internal Data Subscribers to the Master Data:
* Internal users and systems that consume master data must be governed to ensure they have access to accurate and consistent data.
* Master Data Authored in the MDM User Interface:
* Governance should include the processes and controls around how master data is created and maintained through the MDM interface.
* External Third Parties Using Master Data:
* External parties that use or access master data must be governed to ensure data security, privacy, and compliance with regulations.
* Data Sources of the Master Data:
* The sources from which master data is derived must be governed to ensure data quality, integrity, and consistency.

NEW QUESTION # 46
Does anorganizationhave to agree to a single definition for Master Data?

A. No. master data can have many definitions
B. Yes. the key thing is to agree on a standard definition
C. No. financial data is master data but the definition is always changing
D. No. each department can have their own definitions for master data
E. No. technical data may have many definitions depending on the vendor

Answer: B

Explanation:
For effective Master Data Management, an organization must agree on a single, standard definition of master data. Here's why:
* Consistency:
* Single Definition: A standardized definition ensures consistency across different departments and systems.
* Avoids Confusion: Prevents discrepancies and misunderstandings regarding what constitutes master data.
* Data Quality and Governance:
* Unified Approach: A single definition supports unified data governance policies and data quality standards.
* Data Integration: Facilitates easier data integration and interoperability across various systems and processes.
* Business Efficiency:
* Aligned Objectives: Ensures all parts of the organization are aligned in their understanding and use of master data, leading to more efficient operations and decision-making.
* 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 # 47
Which of the following is NOT a Reference & Master Data activity?

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

Answer: C

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 # 48
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