DAMA Updated CDMP-RMD Exam Questions and Answers by dante

Master and Reference Data are forms of Data Architecture. Here’s why:

Data Architecture Definition:

Structure and Design: Data architecture involves the structure and design of data systems, including how data is organized, stored, and accessed.

Components: Encompasses various components, including data models, data management processes, and data governance frameworks.

Role of Master and Reference Data:

Core Components: Master and Reference Data are integral components of an organization’s data architecture, providing foundational data elements used across multiple systems and processes.

Organization and Integration: They play a critical role in organizing and integrating data, ensuring consistency and accuracy.

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)"

Division of Power in Data Governance:This approach distributes decision-making authority across different levels or areas within the organization.

Benefits:

Better alignment of decisions:By distributing power, decisions can be made that are better suited to the specific needs and contexts of different parts of the organization. This ensures that decisions about data management are relevant and effective for each particular area.

Avoids centralization issues:Centralized decision-making can often be disconnected from the needs of different departments or functions.

Improved responsiveness:

Decentralized governance can enable faster and more contextually appropriate responses to data management issues.

Other Options Analysis:

Spreads the blame for bad decisions:This is not a strategic benefit but rather a negative consequence.

Centralizing responsibility:This contradicts the concept of division of power.

Lower expense:While decentralization might lead to better decision-making, it doesn't inherently mean lower costs.

Facilitating a decision by committee model:This can lead to slower decision-making processes and isn't the primary benefit of a division of power.

Conclusion:The key benefit of a division of power approach in master data governance is the better alignment of decisions based on varying levels of organizational data sharing.

References:

DMBOK Guide, sections on Data Governance and Organizational Structures.

CDMP Examination Study Materials.

An authoritative system where data consumers can obtain reliable data as an alternative to the system of record is known as a "Trusted System."

System of Record:

The system of record (SOR) is the authoritative data source for a particular data element or dataset. It ensures data integrity, accuracy, and consistency.

Trusted System:

A trusted system provides reliable data that consumers can use for transactions and analysis. It acts as a reference point and may serve as an alternative to the system of record.

It ensures that users have access to high-quality, consistent, and trustworthy data, which is essential for decision-making and operational processes.

Other Options:

System of Reference:Generally refers to a system used for lookup and reference purposes but not necessarily authoritative for transactions.

System of Origin:The original source of data before it is integrated into other systems.

Source System:Any system that contributes data to an enterprise system but is not specifically a trusted or authoritative source.

System of Use:The system where data is actively used and consumed for various business processes.

Historical Perspective of Master Data:Maintaining historical data about master data objects is crucial for various reasons.

Reasons for Importance:

Provides an audit trail:Keeping historical data allows organizations to track changes and understand the evolution of data over time, which is essential for auditing purposes.

May be required in litigation cases:Historical data can serve as evidence in legal disputes, demonstrating the state of data at specific points in time.

Attributes about Master Data subjects evolve over time:As entities change, such as customers moving or changing names, maintaining historical data allows for accurate tracking of these changes.

Enables business analytics to determine the root cause of behavioral changes:Historical data can help in analyzing trends and identifying reasons for changes in business metrics or customer behavior.

Conclusion:All the provided reasons collectively highlight the importance of maintaining a historical perspective of master data.

References:

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

CDMP Examination Study Materials.