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DAMA Reference And Master Data Management Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
What type of interactive system model is most often used for Master Data Management?

A. Point-to-point
B. Hub-and-Spoke
C. Synchronized interface
D. Publish-Subscribe
E. Application-coupling

Answer: B

Explanation:
The hub-and-spoke model is most often used for Master Data Management because it provides a central hub where master data is maintained, while the spokes represent different systems or applications that interact with the hub. This model allows for efficient management, synchronization, and distribution of master data across the enterprise, ensuring consistency and quality.
References:
* DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
* The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling by Ralph Kimball and Margy Ross.

NEW QUESTION # 69
The most difficult MDM style to implement data governance is which of following-

A. Registry style
B. Linkage style
C. Consolidation style
D. Centralized style
E. Coexistence style

Answer: A

Explanation:
The registry style is the most difficult MDM style to implement data governance due to its reliance on maintaining a central registry of master data without consolidating data physically. This method makes it challenging to ensure consistent governance across disparate systems since data remains distributed and only loosely connected via the registry.
References:
* DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
* Master Data Management: Creating a Single Source of Truth by David Loshin.

NEW QUESTION # 70
ISO 8000 is a Master Data international standard tor what purpose?

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

Answer: B

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 # 71
MOM Harmonization ensures that the data changes of one application:

A. Has a data steward to preview the data for quality
B. Are synchronized with all other applications who depend on that data
C. include changes to the configuration of the database as well as the data
D. Agree with the overall MDM architecture
E. Are recorded in the repository or data dictionary

Answer: B

Explanation:
Master Data Management (MDM) Harmonization ensures that the data changes of one application are synchronized with all other applications that depend on that data.
* MDM Harmonization Definition:This process involves aligning and reconciling data from different sources to ensure consistency and accuracy across the enterprise.
* Synchronization:Ensuring that changes in one application are reflected across all dependent applications prevents data inconsistencies and maintains data integrity.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* CDMP Study Guide

NEW QUESTION # 72
What technology option can provide better support of a Registry style MDM?

A. JSON mapping
B. Data virtualization
C. Columnar database
D. Complex queries
E. ETL toolset

Answer: B

Explanation:
Registry style MDM involves maintaining a central registry that stores references to master data while allowing the actual data to remain in the source systems. This approach requires technologies that support data integration and real-time access without physically moving the data.
* JSON Mapping:
* JSON mapping is useful for data exchange but does not specifically support the registry style MDM approach.
* ETL Toolset:
* ETL (Extract, Transform, Load) tools are typically used for batch data processing and integration, which may not align with the real-time data access requirements of a registry style MDM.
* Columnar Database:
* Columnar databases are optimized for analytical queries but are not specifically designed for supporting registry style MDM.
* Complex Queries:
* While complex queries can be part of the data access strategy, they are not a comprehensive solution for registry style MDM.
* Data Virtualization:
* Data virtualization provides a unified view of data from multiple sources without physically moving the data. It supports real-time data access and integration, making it well-suited for registry style MDM.
* It enables organizations to access and manage master data across different systems while maintaining a central registry for reference.

NEW QUESTION # 73
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