DAMA CDMP-RMD TEST QUESTIONS, EXAM CDMP-RMD SIMULATIONS

DAMA CDMP-RMD Test Questions, Exam CDMP-RMD Simulations

DAMA CDMP-RMD Test Questions, Exam CDMP-RMD Simulations

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Tags: CDMP-RMD Test Questions, Exam CDMP-RMD Simulations, Reliable CDMP-RMD Exam Questions, Reliable CDMP-RMD Braindumps Ppt, Valid CDMP-RMD Exam Forum

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DAMA CDMP-RMD Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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DAMA Reference And Master Data Management Exam Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which of the following are reasons why marketing is important to a MDM program?

  • A. Helps ensure long-term sustainability of program
  • B. Encourages sources to onboard their master data to MDM Inventory
  • C. Promotes benefits to leadership
  • D. All of the above
  • E. Helps to grow the base of subscribers

Answer: D

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 # 29
MDM is a lifecycle management process that includes the following activities with the exception of which activity?

  • A. Identifying improperly matched or merged instances and ensuring they are resolved and correctly associated with identifiers
  • B. Enforcing the use of Master Data values within the organization
  • C. Provisioning of access to trusted data across applications, either through direct reads, data services, or by replication feeds to transactional, warehousing or analytical data stores
  • D. Identifying multiple instances of the same entity represented within and across data sources: building and maintaining identifiers and cross-references to enable information integration
  • E. Ensuring effective and efficient retrieval and use of data and information by ETL logic

Answer: E

Explanation:
MDM (Master Data Management) is a lifecycle management process that includes various activities to ensure the quality, consistency, and accessibility of master data across an organization. These activities include:
* Provisioning of Access: Ensuring that trusted master data is accessible across applications through various methods such as direct reads, data services, or replication feeds.
* Identifying Multiple Instances: Detecting and managing multiple representations of the same entity within and across data sources. This involves creating and maintaining identifiers and cross-references for integration.
* Enforcing Use of Master Data: Ensuring that the organization consistently uses master data values in processes and applications.
* Resolving Improper Matches: Identifying and resolving improperly matched or merged data instances to maintain data integrity.
The activity of "Ensuring effective and efficient retrieval and use of data and information by ETL logic" (C) is not specific to MDM. While ETL (Extract, Transform, Load) processes are crucial for data integration and warehousing, they are not a core activity unique to the MDM lifecycle.
References:
* DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.
* "Master Data Management and Data Governance" by Alex Berson and Larry Dubov.


NEW QUESTION # 30
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. Has a useful life span
  • C. Must fit the consumers' required use
  • D. Unavailability may impact the business
  • E. Depletes when pulled from inventory

Answer: E

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 # 31
Master Data and metadata ran both he used to aggregate data. Master Data require* that the organization:

  • A. Create a specific application solution of all the data in that application
  • B. Identify or develop a trusted version of truth for each of its entities
  • C. Include its transaction activity data that records details about transactions Only have one set of data as the source data and one set of data as the target data
  • D. Include transaction audit data that describes the state of transactions

Answer: B

Explanation:
Master data and metadata are both used to aggregate data, but master data requires that the organization identifies or develops a trusted version of truth for each of its entities.
* Trusted Version of Truth:
* For effective master data management, an organization must establish a single, trusted version of truth for each master data entity (e.g., customer, product).
* This involves harmonizing data from various sources, resolving duplicates, and ensuring consistency and accuracy.
* Master Data:
* Master data includes critical business information that provides context for business transactions and analysis. It must be consistent, accurate, and up-to-date to support operational and analytical processes.
* Other Options:
* Transaction Activity Data:Important for operational processes but not the focus for creating master data.
* One Set of Data as Source and Target:Not sufficient for managing master data.
* Specific Application Solutions:While useful, they do not ensure the creation of a trusted version of truth for master data.
* Transaction Audit Data:Important for auditing but not central to master data creation.


NEW QUESTION # 32
What characteristics does Reference data have that distinguish it from Master Data?

  • A. It is always data from an outside source such as a governing body
  • B. It always has foreign database keys to link it to other data
  • C. It provides data for transactions
  • D. It is more volatile and needs to be highly structured
  • E. It is less volatile, less complex, and typically smaller than Master Data sets

Answer: B

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 # 33
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