The Dama Reference And Master Data Management (CDMP-RMD) exam is a good choice and if the candidate manages to pass Dama Reference And Master Data Management exam, he/she will earn Dama CDMP Certification. Below are some essential facts for Dama CDMP-RMD exam candidates:
Management of Reference and Master data is aimed to reduce cost and risk of having disparate data mainly caused by:
Correct : A
Management of Reference and Master Data aims to mitigate the challenges of disparate data, which typically arise from:
Organic Growth:
Unplanned Expansion: Over time, organizations often develop new systems and applications organically, leading to isolated and redundant data stores.
Inconsistent Data: These disparate systems often result in inconsistent and unreliable data.
Isolated Systems:
Siloed Applications: Independent systems that do not communicate effectively with each other can lead to multiple versions of the same data.
Lack of Integration: Without proper integration, data consistency and quality suffer.
Mergers and Acquisitions:
Combining Systems: Mergers and acquisitions introduce the challenge of integrating different data systems and standards.
Data Redundancy: Newly acquired systems often come with their own data sets, leading to redundancy and conflicts.
Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
Master and Reference Data are forms of:
Correct : C
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.
Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
