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Free PDF CDMP-RMD - Reference And Master Data Management Exam –Trustable Pass Guide
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DAMA Reference And Master Data Management Exam Sample Questions (Q50-Q55):
NEW QUESTION # 50
Which of the following are reasons why marketing is important to a MDM program?
- A. All of the above
- B. Encourages sources to onboard their master data to MDM Inventory
- C. Helps to grow the base of subscribers
- D. Promotes benefits to leadership
- E. Helps ensure long-term sustainability of program
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 # 51
The Master Data hub environment that serves as the system of record tor Master Data is:
- A. Consolidated Hub
- B. Registry
- C. Source Hub
- D. SOA
- E. Two-Speed Hub
Answer: A
Explanation:
The Master Data hub environment that serves as the system of record for Master Data is:
* Consolidated Hub:
* Central Repository: Acts as a central repository where master data is stored and managed.
* Data Quality and Integration: Ensures data quality by integrating data from various source systems and providing a single source of truth.
* System of Record: Maintains the most accurate and up-to-date information about master data entities.
* Other Hub Types:
* SOA (Service-Oriented Architecture): Focuses on providing a flexible architecture for integrating services but not specifically a master data hub.
* Two-Speed Hub: A hybrid approach, but not solely a system of record.
* Source Hub: May refer to original source systems, not a consolidated system of record.
* Registry: Primarily maintains references to data stored in other systems but not a comprehensive system of record.
* 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 # 52
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 # 53
The Reference Data Change Request Process does NOT include which of the following subprocesses:
- A. Decide and Communicate
- B. Identify Stakeholder
- C. Identify Impact
- D. Receive Change Request
- E. Monitor Database Change
Answer: E
Explanation:
The Reference Data Change Request Process typically involves the following sub-processes:
* Receive Change Request:
* Initiation: The process begins with the receipt of a change request, formally logged and acknowledged.
* Identify Stakeholder:
* Stakeholder Identification: Identifying all relevant stakeholders who need to be involved or informed about the change.
* Identify Impact:
* Impact Analysis: Assessing the potential impact of the requested change on existing systems, processes, and data.
* Decide and Communicate:
* Decision Making: Reviewing the change request, making a decision, and communicating the outcome to stakeholders.
* Excluded Step - Monitor Database Change: While monitoring database changes is important for overall data management, it is not typically part of the specific change request process for reference data. This step pertains more to ongoing operational monitoring rather than the change request workflow.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 6: Data Development & Maintenance
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"
NEW QUESTION # 54
When establishing a MOM. what is the benefit of doing data profiling?
- A. Develop data migration approach
- B. Manage the design of the data warehouse
- C. Analyze data values and see how closely they correspond to a defined set of valid values
- D. Develop batch data flows for a scheduler
- E. Develop services to access, transform and deliver data
Answer: C
Explanation:
* Definitions and Context:
* Data Profiling: This is the process of examining data from existing data sources and collecting statistics or informative summaries about that data.
* Master Data Management (MDM): Establishing MDM involves processes and technologies for
* managing the non-transactional data entities of an organization.
* Explanation:
* Data profiling helps to understand the data's characteristics and quality by analyzing data values and comparing them to defined valid values.
* This process is crucial in establishing a Master Data Management (MDM) system as it ensures the data adheres to the defined standards and is clean, accurate, and ready for integration into the MDM system.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition, Chapter 11: Master and Reference Data Management.
* Kimball, R. & Caserta, J. (2004). The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data.
NEW QUESTION # 55
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