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DAMA CDMP-RMD Deutsch Exam Syllabus Topics:

Topic	Details
Topic 1	Reference Data Management (RDM) Lifecycle: The lifecycle of reference data management is covered in this topic.
Topic 2	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 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	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.

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

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

Question #1

Welche der folgenden Aussagen ist ein Merkmal eines probabilistischen Matching-Algorithmus?

A. Jeder abzugleichenden Variable wird basierend auf ihrer Unterscheidungskraft ein Gewicht zugewiesen.
B. Die Übereinstimmungswerte einzelner Attribute werden verwendet, um eine prozentuale Übereinstimmungswahrscheinlichkeit zu berechnen.
C. Die Punktzahl wird anhand der Gewichtung und des Grades der Übereinstimmung vergeben.
D. Alle Antworten sind richtig.
E. Im Anschluss an den Abgleichprozess gibt es in der Regel Datensätze, die einer manuellen Überprüfung und Entscheidung bedürfen.

Reveal Solution Discussion 0

Correct Answer: D 🗳️