CDMP-RMD LATEST DUMPS FILES EXAM PASS FOR SURE | DAMA TEST CDMP-RMD PASS4SURE

CDMP-RMD Latest Dumps Files Exam Pass For Sure | DAMA Test CDMP-RMD Pass4sure

CDMP-RMD Latest Dumps Files Exam Pass For Sure | DAMA Test CDMP-RMD Pass4sure

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Tags: CDMP-RMD Latest Dumps Files, Test CDMP-RMD Pass4sure, CDMP-RMD Practice Mock, CDMP-RMD Valid Test Pdf, CDMP-RMD Certification Exam Infor

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DAMA Reference And Master Data Management Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
All of the following methods arc a moans to protect and secure master data In a production environment except for which of the following?

  • A. Static masking
  • B. Dynamic Masking
  • C. Encryption ciphers
  • D. Trust Model Technologies
  • E. Usage Agreements

Answer: E

Explanation:
Protecting and securing master data in a production environment can be achieved through various methods.
Encryption ciphers, static masking, trust model technologies, and dynamic masking are all techniques used to safeguard data. However, usage agreements, while important for data governance and legal compliance, are not a technical method for securing data in the same way that the other options are. Usage agreements define the terms under which data can be accessed and used, but they do not directly protect the data itself.
References:
* DAMA-DMBOK2 Guide: Chapter 11 - Data Security Management
* "Data Masking: A Key Component of a Secure Data Management Strategy" by Anjali Kaushik


NEW QUESTION # 58
What MDM style allows data to be authored anywhere?

  • A. Centralized style
  • B. Registry style
  • C. Consolidation
  • D. Coexistence
  • E. Persistent

Answer: D

Explanation:
Master Data Management (MDM) styles define how and where master data is managed within an organization. One of these styles is the "Coexistence" style, which allows data to be authored and maintained across different systems while ensuring consistency and synchronization.
* Coexistence Style:
* The coexistence style of MDM allows master data to be created and updated in multiple locations or systems within an organization.
* It supports the integration and synchronization of data across these systems to maintain a single, consistent view of the data.
* Key Features:
* Data Authoring: Data can be authored and updated in various operational systems rather than being confined to a central hub.
* Synchronization: Changes made in one system are synchronized across other systems to ensure data consistency and accuracy.
* Flexibility: This style provides flexibility to organizations with complex and distributed IT environments, where different departments or units may use different systems.
* Benefits:
* Enhances data availability and accessibility across the organization.
* Supports operational efficiency by allowing data updates to occur where the data is used.
* Reduces the risk of data silos and inconsistencies by ensuring data synchronization.


NEW QUESTION # 59
What data architecture component is typically used for ingesting raw source system data?

  • A. Landing Zone
  • B. Presentation Zone
  • C. Analytics Zone
  • D. Curation Zone
  • E. Integration Zone

Answer: A

Explanation:
The Landing Zone is typically used for ingesting raw source system data.
* Data Architecture Component:The landing zone is where raw data from various source systems is initially collected and stored.
* Function:It acts as a staging area before the data undergoes further processing, transformation, or analysis.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* CDMP Study Guide


NEW QUESTION # 60
The ______development lifecycle is the best approach to follow for Reference & Master Data efforts.

  • A. Agile
  • B. Project
  • C. Software
  • D. Data-centric
  • E. System

Answer: D

Explanation:
The data-centric development lifecycle is best suited for Reference & Master Data efforts because it prioritizes data integrity, quality, and governance throughout the entire development process. This approach ensures that reference and master data are consistently managed, maintained, and leveraged across various systems and applications.
References:
* DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
* DAMA International Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide),
2nd Edition.


NEW QUESTION # 61
MOM is most accurately and comprehensively defined in which of the following definitions?

  • A. The integration of systems of record that can be leveraged by a governance program
  • B. Processes that maintain master data
  • C. Governed processes enabled by people and technologies providing Master Data that is understood, trusted, controlled, and fit-for-purpose
  • D. The creation of a single instance of an attribute across the enterprise as the version of the truth
  • E. A technology foundation for the management of key business entities

Answer: C

Explanation:
Master Data Management (MDM) involves various processes and technologies to ensure that master data is accurate, consistent, and trustworthy. The most comprehensive definition of MDM captures its multi-faceted nature, encompassing governance, technology, and organizational roles.
* Governed Processes:
* MDM involves establishing governance processes to define policies, standards, and procedures for managing master data.
* These processes ensure that data is handled consistently and according to defined rules.
* Role of People and Technologies:
* Effective MDM requires the involvement of people, including data stewards, data owners, and governance committees, who are responsible for overseeing and managing master data.
* Technologies, such as MDM software and tools, facilitate the implementation of governance processes, data integration, data quality management, and synchronization.
* Key Objectives:
* Master data should be understood by stakeholders, ensuring clarity and common understanding of data definitions and attributes.
* Trust in master data is achieved through rigorous data quality and governance practices.
* Data should be controlled, meaning that access, usage, and changes to the data are managed and monitored.
* Master data must be fit-for-purpose, meeting the specific needs and requirements of the organization's business processes.


NEW QUESTION # 62
......

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