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DAMA CDMP-RMD Dumps - Pass Exam Immediately [2024]

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DAMA CDMP-RMD Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.
Topic 4	Reference Data Management (RDM) Lifecycle: The lifecycle of reference data management is covered in this topic.
Topic 5	Master Data Management (MDM) Lifecycle: The phases of the MDM lifecycle such as planning, design, implementation, and continuous operation are covered in this section.
Topic 6	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 7	Data Stewardship: The management of reference and master data by data stewards is the focal point of this topic. It addresses concepts such as accuracy, consistency, and quality of data.

DAMA Reference And Master Data Management Exam Sample Questions (Q66-Q71):

NEW QUESTION # 66
The following is a technique thatyou can find useful when implementing your Reference and Master program:

A. None of the answers is correct
B. Business key cross references
C. Root Cause Analysis
D. Extract Transformation Load (ETL)
E. Process Management

Answer: B

Explanation:
When implementing a Reference and Master Data Management (RMDM) program, it is crucial to utilize techniques that ensure consistency, accuracy, and reliability of data across various systems. Business key cross-references is one such technique. This technique involves creating a mapping between different identifiers (keys) used across systems to represent the same business entity. This mapping ensures that data can be accurately and consistently referenced, integrated, and analyzed across different systems.
References:
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
* "Master Data Management and Data Governance" by Alex Berson and Larry Dubov, which emphasizes the importance of business key cross-referencing in MDM.

NEW QUESTION # 67
Reference and Master data ran be stored in separate repositories:

A. True
B. False

Answer: A

Explanation:
Reference data and master data serve different purposes within an organization, and storing them in separate repositories can be beneficial for managing them effectively.
* Reference Data:
* Reference data is used to classify or categorize other data. Examples include code tables, taxonomies, and standard lists like country codes or industry classifications.
* It is often less volatile and has a higher degree of standardization.
* Master Data:
* Master data refers to the core business entities that are essential for operations, such as customers, products, employees, and suppliers.
* It is often more dynamic and requires frequent updates to ensure accuracy and consistency across systems.
* Separate Repositories:
* Storing reference and master data in separate repositories allows for tailored management strategies, governance, and security measures suited to their specific needs.
* This approach can improve performance, data quality, and accessibility by reducing complexity and focusing resources on maintaining each type of data appropriately.

NEW QUESTION # 68
Taxonomic Reference Data enable which of the following?

A. Key processing steps for MDMs
B. Content classification and multi-level navigation to support Business Intelligence
C. Having data models physically instantiated in multiple platforms
D. Source systems nameddifferently than target systems
E. The use of canonical models

Answer: B

Explanation:
Taxonomic reference data involves categorizing and organizing data to enable structured access and retrieval.
It facilitates content classification, allowing for efficient multi-level navigation, which is essential for Business Intelligence (BI) activities. By organizing data into a taxonomy, users can easily locate and analyze information, supporting better decision-making processes in BI.
References:
* DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
* DAMA-DMBOK Functional Framework, Function: Reference & Master Data Management.

NEW QUESTION # 69
Managing master data elements can be performed at which of the following points?

A. Application Suite (e.g. ERP)
B. Enterprise
C. All Answers are correct
D. Third-party Provider (e.g. D&B)

Answer: C

Explanation:
Managing master data elements can be performed at multiple levels within an organization. This includes third-party providers such as Dun & Bradstreet (D&B) which can supply enriched and standardized master data. At the enterprise level, organizations manage master data centrally to ensure consistency and quality across all systems and processes. Within application suites suchas ERP (Enterprise Resource Planning) systems, master data management ensures that data is consistent and accurate within and across different applications. Therefore, master data elements can be managed at all these points.
References:
* DAMA-DMBOK2 Guide: Chapter 10 - Master and Reference Data Management
* "The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling" by Ralph Kimball

NEW QUESTION # 70
Reference Data Dictionaries are authoritative listings of:

A. Master Data sources
B. External sources of data
C. Master Data entities
D. Master Data systems of record
E. Semantic rules

Answer: B

Explanation:
* Definitions and Context:
* Reference Data Dictionaries: These are authoritative resources that provide standardized definitions and classifications for data elements.
* External Sources of Data: These are data sources that come from outside the organization and are used for various analytical and operational purposes.
* Explanation:
* Reference Data Dictionaries often contain listings and definitions for data that are used across different organizations and systems, ensuring consistency and interoperability.
* They typically include external data sources, which need to be standardized and understood in the context of the organization's own data environment.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition, Chapter 11: Master and Reference Data Management.
* ISO/IEC 11179-3:2013, Information technology - Metadata registries (MDR) - Part 3: Registry metamodel and basic attributes.

NEW QUESTION # 71
......

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