QUESTION: 29

A key capability to quickly onboard new data suppliers and subscribers to a MDM solution is which of the following?

Data format and transfer flexibility
Source system conformance to a single standard data input format
Requiring only delta loads of changed data attributes
Encrypting all personal information
Subscriber conformance to a single standard data output format

Answer(s): A

Explanation:

Definitions and Context:
MDM Solution: This involves tools and processes to manage master data within an organization to ensure a single source of truth.
Onboarding Data Suppliers and Subscribers: This process involves integrating new data sources (suppliers) and distributing data to various applications or users (subscribers).

A key capability for onboarding is the flexibility in data format and transfer methods because different data suppliers may use various formats and protocols. Ensuring flexibility allows the MDM system to easily adapt to different data sources and meet the needs of diverse data consumers, thereby facilitating quick and efficient onboarding.

Reference:

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition, Chapter 11: Master and Reference Data Management.
The Open Group, "TOGAF Series Guide: The Data Management Capability Assessment Model (DCAM)".

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QUESTION: 30

Master Data Management resolves uncertainty by clearly stating that;

To have master data you must focus resources properly
Some entities [master entities) are more important than others
Only those entities in the Enterprise Data Model are considered Master Data.
All entities arc equal across an enterprise and need to be managed
Data elements must be stored in a repository before they are considered master data

Answer(s): B

Explanation:

Master Data Management (MDM) aims to establish a single, reliable source of key business data (master data). The correct answer here is B, which states that "Some entities [master entities) are more important than others."
Definition of Master Data: Master data refers to the critical data that is essential for operations in a business, such as customer, product, and supplier information. Significance in MDM: MDM focuses on identifying and managing these key entities because they are vital for business processes and decision-making. This is why these entities are considered more important than others.
Resolution of Uncertainty: By emphasizing the importance of master entities, MDM reduces ambiguity around which data should be prioritized and managed meticulously, ensuring consistency and accuracy across the enterprise.

Reference:

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

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QUESTION: 31

MOM Harmonization ensures that the data changes of one application:

Are synchronized with all other applications who depend on that data
Are recorded in the repository or data dictionary
Agree with the overall MDM architecture
include changes to the configuration of the database as well as the data
Has a data steward to preview the data for quality

Answer(s): A

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.

Reference:

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

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QUESTION: 32

MDM matching algorithms benefit from all of the following data characteristics except for which of the following?

Distinctiveness across the population of data
Low number of common data points
High level of comparability of the data elements
Structural heterogeneity of data elements
High validity of the data

Answer(s): D

Explanation:

MDM matching algorithms benefit from various data characteristics but do not benefit from "Structural heterogeneity of data elements."
Matching Algorithms: These are used in MDM to identify and link data records that refer to the same entity across different systems.
Data Characteristics:
Distinctiveness: Helps in accurately matching records.

Common Data Points: Aids in the comparison process.
Comparability: Facilitates effective matching.
Validity: Ensures the data is accurate and reliable.
Structural Heterogeneity: Different structures can complicate the matching process, making it harder to align data.

Reference:

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

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Free CDMP-RMD Exam Braindumps (page: 8)

QUESTION: 29

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QUESTION: 30

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QUESTION: 31

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QUESTION: 32

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