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The Reference And Master Data Management Exam (CDMP-RMD) certification exam is one of the hottest and most industrial-recognized credentials that has been inspiring beginners and experienced professionals since its beginning. With the Reference And Master Data Management Exam (CDMP-RMD) certification exam successful candidates can gain a range of benefits which include career advancement, higher earning potential, industrial recognition of skills and job security, and more career personal and professional growth.
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DAMA Reference And Master Data Management Exam Sample Questions (Q91-Q96):
NEW QUESTION # 91
All of the following methods arc a moans to protect and secure master data In a production environment except for which of the following?
- A. Usage Agreements
- B. Encryption ciphers
- C. Trust Model Technologies
- D. Static masking
- E. Dynamic Masking
Answer: A
Explanation:
Protecting and securing master data in a production environment can be achieved through various methods.
Encryption ciphers, static masking, trust model technologies, and dynamic masking are all techniques used to safeguard data. However, usage agreements, while important for data governance and legal compliance, are not a technical method for securing data in the same way that the other options are. Usage agreements define the terms under which data can be accessed and used, but they do not directly protect the data itself.
References:
* DAMA-DMBOK2 Guide: Chapter 11 - Data Security Management
* "Data Masking: A Key Component of a Secure Data Management Strategy" by Anjali Kaushik
NEW QUESTION # 92
What statement is most accurate about master data metadata?
- A. Does little to improve fit-for-purpose choices on when and where to apply the ' data
- B. Secures the content
- C. Can either be related to technical or business perspectives of content, but not
- D. Provides the who. what, and where context about master data content
- E. Includes a sample of content
Answer: D
Explanation:
Master data metadata provides crucial information about the master data, offering context and supporting its management and use within the organization.
* Who, What, and Where Context:
* Metadata provides descriptive information about the master data, including details about who created or modified the data, what the data represents, and where it is used.
* This contextual information is essential for understanding the origins, purpose, and usage of the master data.
* Includes a Sample of Content:
* While metadata might include examples or samples of the data, this is not its primary purpose.
* Improving Fit-for-Purpose Choices:
* Metadata helps improve the application and governance of master data by providing context and supporting data management decisions.
* Securing the Content:
* Metadata itself is not primarily focused on security, though it can support data governance and access control processes.
* Technical or Business Perspectives:
* Metadata can encompass both technical and business perspectives, providing a holistic view of the data's context and usage.
NEW QUESTION # 93
What item listed will be determined by Reference & Master Data governance processes?
- A. Total cost of ownership
- B. None of these
- C. Data change activity
- D. Service level agreements
- E. Data sharing volume and usage
Answer: C
Explanation:
Reference and Master Data Management (RMDM) governance processes are designed to manage and ensure the accuracy, consistency, and quality of critical data assets across an organization. These processes focus on defining, maintaining, and governing the shared data entities and attributes that are essential for various business processes. One of the key aspects governed by RMDM is "Data change activity."
* Reference and Master Data Definition:
* Reference data is a subset of master data used to classify or categorize other data within an organization. It typically includes codes and descriptions.
* Master data refers to the critical business information regarding the core entities around which business is conducted, such as customers, products, employees, and suppliers.
* Data Change Activity:
* This involves tracking and managing the changes made to master and reference data over time.
The governance processes ensure that any changes to this data are properly authorized, recorded, and communicated to relevant stakeholders.
* Managing data change activity includes monitoring modifications, updates, additions, and deletions of reference and master data.
* Importance in Governance:
* Effective governance of data change activity ensures that the integrity and quality of master data are maintained. It prevents unauthorized changes that could lead to data inconsistencies and inaccuracies.
* It supports audit trails and compliance with regulatory requirements by providing transparency and accountability for data changes.
NEW QUESTION # 94
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 False Negative
- D. An anomaly
- E. A True Negative
Answer: C
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 # 95
An organization chart where a high level manager has department managers with staff and non-managers without staff as direct reports would best be maintained in which of the following?
- A. A taxonomy
- B. A fixed level hierarchy
- C. A data dictionary
- D. A reference file
- E. A ragged hierarchy
Answer: E
Explanation:
A ragged hierarchy is an organizational structure where different branches of the hierarchy can have varying levels of depth. This means that not all branches have the same number of levels. In the given scenario, where a high-level manager has department managers with staff and non-managers without staff as direct reports, the hierarchy does not have a uniform depth across all branches. This kind of structure is best represented and maintained as a ragged hierarchy, which allows for flexibility in representing varying levels of managerial relationships and reporting structures.
References:
* DAMA-DMBOK2 Guide: Chapter 7 - Data Architecture Management
* "Master Data Management and Data Governance" by Alex Berson, Larry Dubov
NEW QUESTION # 96
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