2024 New CDMP-RMD Dumps - Real DAMA Exam Questions
Dependable CDMP-RMD Exam Dumps to Become DAMA Certified
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NEW QUESTION # 57
An organization's master data can be acquired from an external third-party?
- A. True
- B. False
Answer: A
Explanation:
An organization's master data can indeed be acquired from external third parties. Here's how and why:
* Third-Party Data Acquisition:
* Enrichment: External data sources can be used to enrich an organization's master data, providing additional details and context.
* Accuracy and Completeness: Acquiring data from reputable third-party sources can enhance the accuracy and completeness of master data.
* Use Cases:
* Market Data: Organizations may purchase market data to complement their internal customer or product data.
* Reference Data: Common reference data, such as postal codes or industry classifications, are often obtained from external providers.
* Integration:
* Data Integration: Master data acquired from third parties needs to be integrated into the organization's MDM system, ensuring it aligns with existing data standards and governance policies.
* 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 # 58
_____ are a primary supplier of master data content to a MDM program.
- A. Point of sale systems
- B. Systems of record
- C. Data catalog
- D. Configuration management database (CMDB)
- E. Business intelligence applications
Answer: B
Explanation:
Systems of record are primary suppliers of master data content to an MDM program.
* Systems of Record:These are authoritative data sources that provide consistent and reliable master data.
* Role in MDM:They supply accurate and up-to-date master data, ensuring that the MDM system has a solid foundation of information.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* CDMP Study Guide
NEW QUESTION # 59
Authoritative listings of Master Data entities such as companies, people, and products are known as:
- A. Reference directories
- B. Industry directories
- C. Canonical directories
- D. Entity directories
- E. Source directories
Answer: A
Explanation:
Authoritative listings of master data entities are essential for ensuring data accuracy and consistency across an organization.
* Canonical Directories:
* This term refers to standardized data models but is not typically used to describe authoritative listings of master data entities.
* Entity Directories:
* While this term could be used, it is not the most accurate or commonly used term for authoritative listings.
* Reference Directories:
* Reference directories are authoritative lists of master data entities such as companies, people, and products. They provide standardized, trusted, and verified data that organizations can rely on.
* These directories ensure that everyone in the organization uses consistent and accurate data, supporting data quality and governance efforts.
* Industry Directories:
* These directories provide information specific to an industry but are not necessarily authoritative lists of master data entities.
* Source Directories:
* This term does not specifically refer to authoritative master data listings.
NEW QUESTION # 60
The ISO definition of Master Data quality is which of the following?
- A. The degree to which the data's characteristics fulfill individual users' requirements
- B. Identifies the company that created and owns the Master Data
- C. Data is compliant to all international, country, and industry standards
- D. Data meets the objective dimensions but not the subjective dimensions
- E. Data meets all common requirements of all data users
Answer: A
Explanation:
The ISO definition of Master Data quality focuses on the degree to which the data's characteristics meet the requirements of individual users. This implies that quality is subjective and depends on whether the data is suitable and adequate for its intended purpose, fulfilling the specific needs of its users.
References:
* ISO 8000-8:2015 - Data quality - Part 8: Information and data quality: Concepts and measuring.
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 13: Data Quality Management.
NEW QUESTION # 61
Which of the following best describes Mister Data?
- A. Master Data is data about business entities that provide visibility into organizational functions
- B. Master Data is another name for Reference Data
- C. Master Data is data thatis mastered by business users
- D. Master Data is data about business entities that provide context for business transactions and analysis
- E. Master Data is data about technical entities that provide context for transactions
Answer: D
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 # 62
Master Data is similar to a physical product produced and sold by a company except for which of the following characteristics?
- A. Need for information about its characteristics
- B. Must fit the consumers' required use
- C. Has a useful life span
- D. Depletes when pulled from inventory
- E. Unavailability may impact the business
Answer: D
Explanation:
Master Data, similar to a physical product, must meet certain requirements such as fitting consumers' needs, needing information about its characteristics, impacting business when unavailable, and having a useful lifespan. However, unlike physical products, Master Data does not deplete when pulled from inventory.
Master Data remains available for use even after being accessed multiple times, as it is digital information that can be replicated and shared without loss.
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.
NEW QUESTION # 63
The MDM program's governance scope should include:
- A. Master Data authored in the MDM user interface
- B. Data sources of the master data Q All of the above
- C. External third parties using Master Data
- D. Internal data subscribers to the master data
Answer: B
Explanation:
The governance scope of an MDM program should be comprehensive, encompassing all aspects and stakeholders involved in the management and usage of master data.
* Internal Data Subscribers to the Master Data:
* Internal users and systems that consume master data must be governed to ensure they have access to accurate and consistent data.
* Master Data Authored in the MDM User Interface:
* Governance should include the processes and controls around how master data is created and maintained through the MDM interface.
* External Third Parties Using Master Data:
* External parties that use or access master data must be governed to ensure data security, privacy, and compliance with regulations.
* Data Sources of the Master Data:
* The sources from which master data is derived must be governed to ensure data quality, integrity, and consistency.
NEW QUESTION # 64
What data architecture component is typically used for ingesting raw source system data?
- A. Integration Zone
- B. Presentation Zone
- C. Analytics Zone
- D. Curation Zone
- E. Landing Zone
Answer: E
Explanation:
The Landing Zone is typically used for ingesting raw source system data.
* Data Architecture Component:The landing zone is where raw data from various source systems is initially collected and stored.
* Function:It acts as a staging area before the data undergoes further processing, transformation, or analysis.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* CDMP Study Guide
NEW QUESTION # 65
For MDMs. what is meant by a classification scheme?
- A. A way of classifying unstructured data
- B. Codes that represent a controlled set of values
- C. Descriptive language used to control objects
- D. A vocabulary view covering a limited range of topics
Answer: B
Explanation:
In Master Data Management (MDM), a classification scheme refers to a structured way of organizing data by using codes that represent a controlled set of values. These codes help in categorizing and standardizing data, making it easier to manage, search, and analyze.
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.
NEW QUESTION # 66
Which of these metrics can be used to measure metadata documentation quality?
- A. Collision Logic on two sources measuring how much they match
- B. All of these
- C. Random survey based on Enterprise definition of quality
- D. Currency of metadata in the repository
- E. Percentage of attributes that have definitions
Answer: B
Explanation:
Measuring metadata documentation quality involves several metrics that collectively provide a comprehensive view of the quality and effectiveness of metadata management practices.
* Random Survey based on Enterprise Definition of Quality:
* Conducting surveys among data users to gather feedback on the perceived quality of metadata documentation. This helps in understanding user satisfaction and identifying areas for improvement.
* Currency of Metadata in the Repository:
* Ensuring that metadata is up-to-date and accurately reflects the current state of the data. This is crucial for maintaining the relevance and usefulness of metadata.
* Collision Logic on Two Sources Measuring How Much They Match:
* Comparing metadata from different sources to identify discrepancies and ensure consistency. This metric helps in assessing the alignment and accuracy of metadata across systems.
* Percentage of Attributes that have Definitions:
* Measuring the completeness of metadata by checking the percentage of attributes that have well-defined descriptions. This ensures that all data elements are clearly documented and understood.
NEW QUESTION # 67
Within the Corporate Information Factory, what data is used to understand transactions?
- A. Internal Data. Physical Schemas
- B. Reference Data and Vendor Data
- C. Master Data. Reference Data, and External Data
- D. Security Data and Master Data
- E. Master Data and Unstructured Data
Answer: C
Explanation:
In the context of the Corporate Information Factory, understanding transactions involves integrating various types of data to get a comprehensive view. Master Data (core business entities), Reference Data (standardized information), and External Data (information sourced from outside the organization) are essential for providing context and enriching transactional data.
References:
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 3: Data Architecture and Chapter 11: Reference and Master Data Management.
* "Building the Data Warehouse" by W.H. Inmon, which introduces the Corporate Information Factory concept.
NEW QUESTION # 68
Bringing order to your Master Data would solve what?
- A. Provide a place to store technical data elements
- B. Distributing data across the enterprise
- C. 20 40% of the need to buy new servers
- D. The need for a metadata repository
- E. 60-80% of the most critical data quality problems
Answer: E
Explanation:
* Definitions and Context:
* Master Data Management (MDM): MDM involves the processes and technologies for ensuring the uniformity, accuracy, stewardship, semantic consistency, and accountability of an organization's official shared master data assets.
* Data Quality Problems: These include issues such as duplicates, incomplete records, inaccurate data, and data inconsistencies.
* Explanation:
* Bringing order to your master data, through processes like MDM, aims to resolve data quality issues by standardizing, cleaning, and governing data across the organization.
* Effective MDM practices can address and mitigate a significant proportion of data quality problems, as much as 60-80%, because master data is foundational and pervasive across various systems and business processes.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition, Chapter 11: Master and Reference Data Management.
* Gartner Research, "The Impact of Master Data Management on Data Quality."
NEW QUESTION # 69
Which of the following are reasons why marketing is important to a MDM program?
- A. All of the above
- B. Helps to grow the base of subscribers
- C. Helps ensure long-term sustainability of program
- D. Promotes benefits to leadership
- E. Encourages sources to onboard their master data to MDM Inventory
Answer: A
Explanation:
Marketing is crucial to the success of a Master Data Management (MDM) program for several reasons:
* Encouraging Onboarding:
* Master Data Onboarding: Effective marketing strategies can encourage different data sources to integrate their master data into the MDM system, ensuring comprehensive data coverage.
* Promoting Benefits to Leadership:
* Leadership Buy-in: Marketing the benefits of MDM to organizational leadership can secure necessary support and resources for the program. Highlighting efficiencies, cost savings, and improved decision-making can be persuasive.
* Growing Subscriber Base:
* User Engagement: Promoting the MDM program can help grow the base of subscribers and users who rely on the master data, ensuring the data is used effectively across the organization.
* Ensuring Long-term Sustainability:
* Sustainability: Continuous marketing helps maintain interest and investment in the MDM program, ensuring its long-term sustainability and relevance within the organization.
* 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 # 70
Why would a company not develop Master Data?
- A. The process is too disruptive
- B. Data Quality is not a priority.
- C. Lack of commitment
- D. Fail to sec value in integrating their data
- E. All of these are correct
Answer: E
Explanation:
Several factors can deter a company from developing a master data program, including the perceived value, commitment level, disruption, and data quality priorities.
* Fail to See Value in Integrating Their Data:
* If a company does not recognize the benefits of integrating and managing master data, it may not invest in an MDM program.
* Lack of Commitment:
* Developing an effective MDM program requires long-term commitment from leadership and stakeholders. Without this commitment, the program is unlikely to succeed.
* The Process is Too Disruptive:
* Implementing an MDM program can be disruptive to existing processes and systems. The perceived disruption can deter companies from pursuing it.
* Data Quality is Not a Priority:
* If a company does not prioritize data quality, it may not see the need for a robust MDM program.
Poor data quality can undermine the effectiveness of business processes and decision-making.
NEW QUESTION # 71
Reference Data Dictionaries are authoritative listings of:
- A. External sources of data
- B. Master Data systems of record
- C. Master Data sources
- D. Semantic rules
- E. Master Data entities
Answer: A
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 # 72
Master Data Curation is used for improving the overall quality of the data throughout the business by doing the following:
- A. Creating a map of the enterprise data stores
- B. Providing a look up service for definitions
- C. Performing a data audit
- D. De-duplication of data.
- E. Recording who owns the data
Answer: D
Explanation:
Master Data Curation is a process aimed at improving the overall quality of data throughout the business.
Here's how:
* Data Quality Improvement:
* De-duplication: The process involves identifying and eliminating duplicate records to ensure a single, accurate version of each data entity.
* Data Cleaning: Removes inaccuracies and inconsistencies, enhancing the reliability of the data.
* Benefits of De-duplication:
* Accuracy: Ensures that each entity (e.g., customer, product) is represented only once, improving data accuracy and reducing redundancy.
* Operational Efficiency: Streamlines operations by eliminating duplicate records that can cause confusion and errors in business processes.
* 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 # 73
The ______development lifecycle is the best approach to follow for Reference & Master Data efforts.
- A. Project
- B. Data-centric
- C. Agile
- D. System
- E. Software
Answer: B
Explanation:
The data-centric development lifecycle is best suited for Reference & Master Data efforts because it prioritizes data integrity, quality, and governance throughout the entire development process. This approach ensures that reference and master data are consistently managed, maintained, and leveraged across various systems and applications.
References:
* DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.
* DAMA International Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide),
2nd Edition.
NEW QUESTION # 74
The most difficult MDM style to implement data governance is which of following-
- A. Consolidation style
- B. Coexistence style
- C. Linkage style
- D. Registry style
- E. Centralized style
Answer: D
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 # 75
The 'consumer of master data content received from a MDM platform can also be referred to as a:
- A. MDM platform
- B. Single version of the truth
- C. System of record
- D. Subscriber
- E. Metadata repository
Answer: D
NEW QUESTION # 76
Where is the most time/energy typically spent tor any MDM effort?
- A. Securing funding for the MDM effort
- B. Publishing content to the MDM environment
- C. Vetting of business entities and data attributes by Data Governance process
- D. Designing the Enterprise Data Model
- E. Subscribing content from the MDM environment
Answer: C
Explanation:
In any Master Data Management (MDM) effort, the most time and energy are typically spent on vetting business entities and data attributes through the Data Governance process. This step ensures that the data is accurate, consistent, and adheres to defined standards and policies. Itinvolves significant collaboration and decision-making among stakeholders to validate and approve the data elements to be managed.
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.
NEW QUESTION # 77
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. Data Governance. Information Technology, and Customer Experience
- B. Data Governance. Information Security, and Compliance
- C. Data Management, Information Security, and Customer Experience
- D. Customer Experience. Information Security, and data Governance
- E. Data Management. Information Technology, and Compliance
Answer: B
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 # 78
MOM Harmonization ensures that the data changes of one application:
- A. include changes to the configuration of the database as well as the data
- B. Has a data steward to preview the data for quality
- C. Are recorded in the repository or data dictionary
- D. Are synchronized with all other applications who depend on that data
- E. Agree with the overall MDM architecture
Answer: D
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 # 79
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