Get Dama CDMP-RMD Exam Practice Questions - Real and Updated

Answer : D

In a Consolidated style MDM (Master Data Management) approach, data from multiple source systems is integrated into a single consolidated repository. This consolidated repository acts as the authoritative source for master data, often referred to as the 'system of record.' The system of record maintains the most accurate, up-to-date, and comprehensive view of master data. Key traits of this approach include:

Centralization: All master data is centralized in one repository, which simplifies data management and governance.

Consistency: Ensures that all users and systems access the same consistent set of master data.

Data Quality: Enhances data quality through data cleansing, deduplication, and validation processes.

Single Source of Truth: Serves as the definitive source for master data, reducing discrepancies and inconsistencies across the organization.

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

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

Answer : D

The critical need of any Reference & Master Data effort is executive sponsorship. Executive sponsorship provides the necessary authority, visibility, and support for the MDM initiative. Key aspects include:

Strategic Alignment: Ensures that the MDM effort aligns with the organization's strategic goals and objectives.

Resource Allocation: Secures the required funding, personnel, and other resources needed for the MDM program.

Stakeholder Engagement: Facilitates engagement and commitment from key stakeholders across the organization.

Governance and Oversight: Provides governance and oversight to ensure the MDM program adheres to best practices and delivers value.

Without executive sponsorship, MDM initiatives often struggle to gain traction, secure necessary resources, and achieve long-term success.

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

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

Answer : A

A registry in the context of Master Data Management (MDM) is a centralized index that maintains pointers to master data located in various systems of record. This type of architecture is commonly referred to as a 'registry' model and allows organizations to create a unified view of their master data without consolidating the actual data into a single repository. The registry acts as a directory, providing metadata and linkage information to the actual data sources.

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

'Master Data Management: Creating a Single Source of Truth' by David Loshin

Answer : E

Master Data Management (MDM) styles define how and where master data is managed within an organization. One of these styles is the 'Coexistence' style, which allows data to be authored and maintained across different systems while ensuring consistency and synchronization.

Coexistence Style:

The coexistence style of MDM allows master data to be created and updated in multiple locations or systems within an organization.

It supports the integration and synchronization of data across these systems to maintain a single, consistent view of the data.

Key Features:

Data Authoring: Data can be authored and updated in various operational systems rather than being confined to a central hub.

Synchronization: Changes made in one system are synchronized across other systems to ensure data consistency and accuracy.

Flexibility: This style provides flexibility to organizations with complex and distributed IT environments, where different departments or units may use different systems.

Benefits:

Enhances data availability and accessibility across the organization.

Supports operational efficiency by allowing data updates to occur where the data is used.

Reduces the risk of data silos and inconsistencies by ensuring data synchronization.

DAMA-DMBOK (Data Management Body of Knowledge) Framework

CDMP (Certified Data Management Professional) Exam Study Materials

Answer : D

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.

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 1: Data Governance.

'Information Governance: Concepts, Strategies, and Best Practices' by Robert F. Smallwood.