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DAMA Reference And Master Data Management Exam Sample Questions (Q54-Q59):
NEW QUESTION # 54
What characteristics does Reference data have that distinguish it from Master Data?
- A. It always has foreign database keys to link it to other data
- B. It is less volatile, less complex, and typically smaller than Master Data sets
- C. It is more volatile and needs to be highly structured
- D. It provides data for transactions
- E. It is always data from an outside source such as a governing body
Answer: A
Explanation:
Reference data and master data are distinct in several key characteristics. Here's a detailed explanation:
* Reference Data Characteristics:
* Stability: Reference data is generally less volatile and changes less frequently compared to master data.
* Complexity: It is less complex, often consisting of simple lists or codes (e.g., country codes, currency codes).
* Size: Reference data sets are typically smaller in size than master data sets.
* Master Data Characteristics:
* Volatility: Master data can be more volatile, with frequent updates (e.g., customer addresses, product details).
* Complexity: More complex structures and relationships, involving multiple attributes and entities.
* Size: Larger in size due to the detailed information and numerous entities it encompasses.
* 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 # 55
The most difficult MDM style to implement data governance is which of following-
- A. Centralized style
- B. Linkage style
- C. Coexistence style
- D. Consolidation style
- E. Registry style
Answer: E
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 # 56
What is the best way to ensure you have high quality reference data?
- A. Only use data from external data providers
- B. Only use reference data from government sources
- C. Implement Data Governance and Stewardship
- D. Create drop-down menus for data entry to prevent all invalid data
- E. Only use standard reference data provided by ISO
Answer: C
Explanation:
Ensuring high-quality reference data is critical for maintaining data accuracy, consistency, and reliability across an organization. The best way to achieve this is through robust data governance and stewardship practices.
* Government Sources:
* While government sources can be reliable, they are not the only sources of high-quality reference data. Relying solely on them may limit the comprehensiveness of reference data.
* Drop-Down Menus:
* Drop-down menus can help prevent invalid data entry but do not address the overall quality and governance of reference data.
* Data Governance and Stewardship:
* Implementing data governance and stewardship ensures that reference data is managed according to defined policies, standards, and procedures.
* Data governance involves establishing a framework for decision-making, accountability, and control over data management processes.
* Data stewardship assigns responsibility for data quality, ensuring that data is accurate, consistent, and fit for purpose.
* Standard Reference Data (ISO):
* Using standard reference data from organizations like ISO can enhance data quality, but it should be part of a broader governance strategy.
* External Data Providers:
* External data providers can offer high-quality reference data, but relying solely on them without proper governance can lead to inconsistencies and data quality issues.
NEW QUESTION # 57
Which of the following best describes Mister Data?
- A. Master Data is data about technical entities that provide context for transactions
- B. Master Data is another name for Reference Data
- C. Master Data is data about business entities that provide context for business transactions and analysis
- D. Master Data is data thatis mastered by business users
- E. Master Data is data about business entities that provide visibility into organizational functions
Answer: C
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 # 58
Information Governance is a concept that covers the 'what', how', and why' pertaining to the data assets of an organization. The 'what', 'how', and 'why' are respectively handled by the following functional areas:
- A. Customer Experience. Information Security, and data Governance
- B. Data Management, Information Security, and Customer Experience
- C. Data Management. Information Technology, and Compliance
- D. Data Governance. Information Technology, and Customer Experience
- E. Data Governance. Information Security, and Compliance
Answer: E
Explanation:
Information Governance involves managing and controlling the data assets of an organization, addressing the
'what', 'how', and 'why'.
* 'What' pertains to Data Governance, which defines policies and procedures for data management.
* 'How' relates to Information Security, ensuring that data is protected and secure.
* 'Why' is about Compliance, ensuring that data management practices meet legal and regulatory requirements.
References:
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 1: Data Governance.
* "Information Governance: Concepts, Strategies, and Best Practices" by Robert F. Smallwood.
NEW QUESTION # 59
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