Dama Reference And Master Data Management CDMP-RMD Exam Questions

Answer : D

Tracking the number of MDM subject areas and source system attributes refers to defining the scope and coverage of the subject areas and attributes involved in an MDM initiative. This process includes identifying all the data entities (subject areas) and the specific attributes (data elements) within those entities that need to be managed across the organization. By establishing a clear scope and coverage, organizations can ensure that all relevant data is accounted for and appropriately managed.

DAMA-DMBOK2 Guide: Chapter 10 -- Master and Reference Data Management

'Master Data Management and Data Governance' by Alex Berson, Larry Dubov

Answer : A

All organizations possess master data, even if it is not explicitly labeled as such. Here's why:

Definition of Master Data:

Core Business Entities: Master data refers to the critical entities around which business transactions are conducted, such as customers, products, suppliers, and accounts.

Business Operations: Every organization maintains records of these entities to support business operations, decision-making, and reporting.

Implicit Existence:

Unlabeled Data: Organizations may not explicitly label this data as ''Master Data,'' but it exists within various systems, databases, and spreadsheets.

Examples: Customer lists, product catalogs, employee records, and financial accounts.

Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management

DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'

Answer : B

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.

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.

CDMP Study Guide

Answer : D

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.

DAMA-DMBOK2 Guide: Chapter 11 -- Data Security Management

'Data Masking: A Key Component of a Secure Data Management Strategy' by Anjali Kaushik

Answer : E

Historical Perspective of Master Data: Maintaining historical data about master data objects is crucial for various reasons.

Reasons for Importance:

Provides an audit trail: Keeping historical data allows organizations to track changes and understand the evolution of data over time, which is essential for auditing purposes.

May be required in litigation cases: Historical data can serve as evidence in legal disputes, demonstrating the state of data at specific points in time.

Attributes about Master Data subjects evolve over time: As entities change, such as customers moving or changing names, maintaining historical data allows for accurate tracking of these changes.

Enables business analytics to determine the root cause of behavioral changes: Historical data can help in analyzing trends and identifying reasons for changes in business metrics or customer behavior.

Conclusion: All the provided reasons collectively highlight the importance of maintaining a historical perspective of master data.

DMBOK Guide, sections on Master Data Management and Data Governance.

CDMP Examination Study Materials.

Answer : D

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.

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.

Answer : C

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.

Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management

DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'