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DAMA CDMP-RMD Deutsch Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	Data Stewardship: The management of reference and master data by data stewards is the focal point of this topic. It addresses concepts such as accuracy, consistency, and quality of data.
Topic 3	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 4	MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.
Topic 5	Fundamentals of Reference and Master Data: The fundamental ideas of reference and master data are covered in this section, along with their definitions, distinctions, and significance in data management.
Topic 6	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 7	Master Data Management (MDM) Lifecycle: The phases of the MDM lifecycle such as planning, design, implementation, and continuous operation are covered in this section.

Reference: https://www.dama.org/cpages/cdmp-information

DAMA Reference And Master Data Management Exam (CDMP-RMD Deutsch Version) Sample Questions:

Question #1

Im Folgenden finden Sie eine Technik, die sich bei der Umsetzung Ihres Referenz- und Masterprogramms als nützlich erweisen kann:

A. Keine der Antworten ist richtig.
B. Ursachenanalyse
C. Querverweise für Geschäftsschlüssel
D. Extract Transformation Load (ETL)
E. Prozessmanagement

Reveal Solution Discussion 0

Correct Answer: C 🗳️