CDMP-RMD RELIABLE EXAM SAMPLE | EXAM SAMPLE CDMP-RMD QUESTIONS

CDMP-RMD Reliable Exam Sample | Exam Sample CDMP-RMD Questions

CDMP-RMD Reliable Exam Sample | Exam Sample CDMP-RMD Questions

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Tags: CDMP-RMD Reliable Exam Sample, Exam Sample CDMP-RMD Questions, CDMP-RMD Lab Questions, CDMP-RMD Latest Braindumps Pdf, Verified CDMP-RMD Answers

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DAMA CDMP-RMD Questions Can Help you Pass Exam [2025]

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DAMA CDMP-RMD Exam Syllabus Topics:

TopicDetails
Topic 1
  • Reference Data Management (RDM) Lifecycle: The lifecycle of reference data management is covered in this topic.
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
  • 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 5
  • MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.

DAMA Reference And Master Data Management Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
Is there a standard tor defining and exchanging Master Data?

  • A. Yes, ISO 22745
  • B. No. there are no standards because not everyone uses Master Data
  • C. No. every corporation uses their own method
  • D. Yes. it is called ETL

Answer: A

Explanation:
ISO 22745 is an international standard for defining and exchanging master data.
* ISO 22745:
* This standard specifies the requirements for the exchange of master data, particularly in industrial and manufacturing contexts.
* It includes guidelines for the structured exchange of information, ensuring that data can be shared and understood across different systems and organizations.
* Standards for Master Data:
* Standards like ISO 22745 help ensure consistency, interoperability, and data quality across different platforms and entities.
* They provide a common framework for defining and exchanging master data, facilitating smoother data integration and management processes.
* Other Options:
* ETL:Refers to the process of Extract, Transform, Load, used in data integration but not a standard for defining master data.
* Corporation-specific Methods:Many organizations may have their own methods, but standardized frameworks like ISO 22745 provide a common foundation.
* No Standards:While not all organizations use master data, standards do exist for those that do.


NEW QUESTION # 45
Should both in-house and commercial tools meet ISO standards for metadata?

  • A. Yes. at the very least they should provide guidance
  • B. No. each organization needs to develop their own standards based on needs

Answer: A

Explanation:
Adhering to ISO standards for metadata is important for both in-house and commercial tools for the following reasons:
* Standardization:
* Uniformity: ISO standards ensure that metadata is uniformly described and managed across different tools and systems.
* Interoperability: Facilitates interoperability between different tools and systems, enabling seamless data exchange and integration.
* Guidance and Best Practices:
* Structured Approach: Provides a structured approach for defining and managing metadata, ensuring consistency and reliability.
* Compliance and Quality: Ensures compliance with internationally recognized best practices, enhancing data quality and governance.
* References:
* ISO/IEC 11179: Information technology - Metadata registries (MDR)
* 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 # 46
Why would a company not develop Master Data?

  • A. Data Quality is not a priority.
  • B. All of these are correct
  • C. Fail to sec value in integrating their data
  • D. The process is too disruptive
  • E. Lack of commitment

Answer: B

Explanation:
Several factors can deter a company from developing a master data program, including the perceived value, commitment level, disruption, and data quality priorities.
* Fail to See Value in Integrating Their Data:
* If a company does not recognize the benefits of integrating and managing master data, it may not invest in an MDM program.
* Lack of Commitment:
* Developing an effective MDM program requires long-term commitment from leadership and stakeholders. Without this commitment, the program is unlikely to succeed.
* The Process is Too Disruptive:
* Implementing an MDM program can be disruptive to existing processes and systems. The perceived disruption can deter companies from pursuing it.
* Data Quality is Not a Priority:
* If a company does not prioritize data quality, it may not see the need for a robust MDM program.
Poor data quality can undermine the effectiveness of business processes and decision-making.


NEW QUESTION # 47
Why is a historical perspective ofMaster Data important?

  • A. May be required in litigation cases
  • B. Attributes about Master Data subjects evolve over time
  • C. Provides an audit trail
  • D. All of the above
  • E. Enables business analytics to determine the root cause of behavioral changes

Answer: D

Explanation:
* 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.


NEW QUESTION # 48
An organization's master data can be acquired from an external third-party?

  • A. True
  • B. False

Answer: A

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 # 49
......

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