RELIABLE DAMA CDMP-RMD PDF QUESTIONS PASS EXAM WITH CONFIDENCE

Reliable DAMA CDMP-RMD PDF Questions Pass Exam With Confidence

Reliable DAMA CDMP-RMD PDF Questions Pass Exam With Confidence

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Tags: CDMP-RMD Reliable Dumps Ppt, CDMP-RMD Premium Exam, CDMP-RMD Test Engine Version, Questions CDMP-RMD Exam, New CDMP-RMD Study Notes

The DAMA CDMP-RMD certification exam is without a doubt a terrific and quick way to develop your profession in your field. These advantages include the opportunity to develop new, in-demand skills, advantages in the marketplace, professional credibility, and the opening up of new job opportunities. Reference And Master Data Management Exam CDMP-RMD real reliable test cram and test book help you pass the Reference And Master Data Management Exam exam successfully.

DAMA CDMP-RMD Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
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
  • Fundamentals of Reference and Master Data: The fundamental ideas of reference and master data are covered in this section, along with their definitions, distinctions, and significance in data management.

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

NEW QUESTION # 44
ISO 8000 is a Master Data international standard tor what purpose?

  • A. Provide guidance only to the Buy side of the supply chain
  • B. Provides a standard format for defining a model for a data dictionary
  • C. To replace the ISO 9000 standard
  • D. Defines a format to exchange data between parties
  • E. Define and measure data quality

Answer: E

Explanation:
ISO 8000 is an international standard focused on data quality and information exchange. Its primary purpose is to define and measure the quality of data, ensuring that it meets the requirements for completeness, accuracy, and consistency. The standard provides guidelines for data quality management, including requirements for data governance, data quality metrics, and procedures for improving data quality over time. ISO 8000 is not meant to replace ISO 9000, which is focused on quality management systems, but to complement it by addressing data quality specifically.
References:
* ISO 8000: Overview and Benefits of ISO 8000, International Organization for Standardization (ISO)
* DAMA-DMBOK2 Guide: Chapter 12 - Data Quality Management


NEW QUESTION # 45
Which of the following best describes Mister Data?

  • A. Master Data is another name for Reference Data
  • B. Master Data is data about business entities that provide visibility into organizational functions
  • C. Master Data is data about technical entities that provide context for transactions
  • D. Master Data is data thatis mastered by business users
  • E. Master Data is data about business entities that provide context for business transactions and analysis

Answer: E

Explanation:
Master data represents the critical business information that is used across the organization. It provides context and structure for business transactions and analytical processes.
* Data about Business Entities:
* Master data typically includes key entities such as customers, products, suppliers, employees, and locations.
* These entities are fundamental to business operations and provide the necessary context for transactions and analysis.
* Providing Context for Business Transactions:
* Master data provides the foundational information required to conduct business transactions.
* For example, customer master data is used in sales transactions, while product master data is used in inventory management.
* Supporting Business Analysis:
* Master data is critical for business intelligence and analytics, providing a consistent and accurate view of the core business entities.
* It enables effective reporting, analysis, and decision-making by ensuring that the data used in these processes is reliable and standardized.
* Other Options:
* A: Master data and reference data are distinct; reference data is used to categorize master data.
* B: Master data is not necessarily mastered by business users but involves collaboration between IT and business stakeholders.
* C: Provides visibility but also context for transactions and analysis.
* E: Master data is about business entities, not technical entities.


NEW QUESTION # 46
Management of Reference and Master data is aimed to reduce cost and risk of having disparate data mainly caused by:

  • A. High number of legacy applications and lack of expertise to evolve or replace them
  • B. Poor or non-existent data documentation available for developers and business analysts
  • C. Organicgrowth of systems and data, isolated systems, mergers and acquisitions
  • D. Lack of appropriate processes to assure data availability and accuracy
  • E. Migration to new technology platforms and evolution of landscape

Answer: C

Explanation:
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.
* 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
When 2 records are not matched when they should have been matched, this condition is referred to as:

  • A. False Positive
  • B. A True Positive
  • C. A True Negative
  • D. A False Negative
  • E. An anomaly

Answer: D

Explanation:
* Definitions and Context:
* False Positive: This occurs when a match is incorrectly identified, meaning records are deemed to match when they should not.
* True Positive: This is a correct identification of a match, meaning records that should match are correctly identified as matching.
* False Negative: This occurs when a match is not identified when it should have been, meaning records that should match are not matched.
* True Negative: This is a correct identification of no match, meaning records that should not match are correctly identified as not matching.
* Anomaly: This is a generic term that could refer to any deviation from the norm and does not specifically address the context of matching records.
* Explanation:
* The question asks about a scenario where two records should have matched but did not. This is the classic definition of aFalse Negative.
* In data matching processes, this is a critical error because it means that the system failed to recognize a true match, which can lead to fragmented and inconsistent data.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition, Chapter 11: Master and Reference Data Management.
* ISO 8000-2:2012, Data Quality - Part 2: Vocabulary.


NEW QUESTION # 48
Should both in-house and commercial tools meet ISO standards for metadata?

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

Answer: B

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 # 49
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