VALID EXAM DAMA CDMP-RMD BRAINDUMPS, VALID CDMP-RMD EXAM OBJECTIVES

Valid Exam DAMA CDMP-RMD Braindumps, Valid CDMP-RMD Exam Objectives

Valid Exam DAMA CDMP-RMD Braindumps, Valid CDMP-RMD Exam Objectives

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Tags: Valid Exam CDMP-RMD Braindumps, Valid CDMP-RMD Exam Objectives, Free CDMP-RMD Practice Exams, New CDMP-RMD Braindumps Pdf, CDMP-RMD Exam Question

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DAMA Reference And Master Data Management Exam Sample Questions (Q87-Q92):

NEW QUESTION # 87
A global identifier is used to:

  • A. Link two or more equivalent references to the same entity
  • B. Link two or more non-equivalent references to the same entity
  • C. Link two or more equivalent references to the same system or database
  • D. Link two or more systems by the same identifier
  • E. Link two or more equivalent columns to the same report

Answer: A

Explanation:
A global identifier is used to link multiple references to the same entity across different systems or datasets.
Here's why:
* Purpose of Global Identifier:
* Unique Identification: Provides a unique identifier that can be used to recognize the same entity across disparate systems and datasets.
* Consistency: Ensures that different references or records pointing to the same entity are consistently identified and managed.
* Linking Equivalent References:
* Equivalent References: Global identifiers link references that are equivalent, meaning they represent the same real-world entity even if the data is stored differently in various systems.
* Entity Resolution: Helps in resolving different records to a single entity, ensuring data consistency and accuracy.
* Example:
* Customer Records: A customer might be listed in different systems (CRM, billing, support) with slightly different details. A global identifier links these records to recognize them as the same customer.
* 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 # 88
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 # 89
A catalog where products are organized by category is an example of?

  • A. A taxonomy
  • B. A meronomy
  • C. A marketing mix
  • D. A metadata repository

Answer: A

Explanation:
A catalog where products are organized by category is an example of a taxonomy. Here's why:
* Definition of Taxonomy:
* Classification System: Taxonomy refers to the practice and science of classification. It involves organizing items into hierarchical categories based on their relationships and similarities.
* Example: In the context of a product catalog, taxonomy is used to classify products into categories and subcategories, making it easier to browse and find specific items.
* Application in Product Catalogs:
* Categorization: Products are grouped into logical categories (e.g., Electronics, Clothing, Home Appliances) and subcategories (e.g., Smartphones, Laptops, Televisions).
* Navigation and Search: Helps users navigate the catalog efficiently and find products quickly by narrowing down categories.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 9: Data Architecture
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge
* (DMBOK)"


NEW QUESTION # 90
Can Reference data be used for financial trading?

  • A. No because customer data is not considered reference data
  • B. Yes. but only less than 1096 can be used
  • C. No. reference data is static, financial data trading is dynamic
  • D. No. since financial trades change every second they cannot use reference data
  • E. Yes. an estimated 70% of data being used in financial transactions is reference data

Answer: E

Explanation:
Reference data plays a crucial role in financial trading. It includes data such as financial instrument identifiers, market data, currency codes, and regulatory classifications. Despite the dynamic nature of financial trades, reference data provides the necessary static information to execute and settle transactions. Industry estimates suggest that approximately 70% of the data used in financial transactions is reference data, underscoring its importance in the financial sector.
References:
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
* "The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling" by Ralph Kimball and Margy Ross.
* Industry publications and whitepapers on reference data management in financial services.


NEW QUESTION # 91
A 'Curation Zone' is a data architecture component used to:

  • A. Validate source system content
  • B. Ingest raw source system data
  • C. Semantically formalize source system content
  • D. Share reference data
  • E. Perform advanced analytic

Answer: C

Explanation:
A 'Curation Zone' is a data architecture component used to semantically formalize source system content. This involves:
* Data Curation: The process of organizing, integrating, and enriching raw data to make it meaningful and useful.
* Semantic Formalization: Applying semantic models, ontologies, and metadata to standardize and contextualize the data.
* Data Quality Enhancement: Ensuring the data meets quality standards through cleansing and validation processes.
* Metadata Management: Capturing and managing metadata to provide context and meaning to the data.
The curation zone plays a critical role in transforming raw data into high-quality, semantically enriched information that can be effectively used for analysis, decision-making, and operational processes.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* "Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program" by John Ladley.


NEW QUESTION # 92
......

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