Practice Test Geeks(CDS) Certified Data Steward Practice Test
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Metadata & Master Data Management Flashcards

7 cards from real CDS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Metadata & Master Data Management flashcards as text

  1. Which metadata management practice ensures that a data element's meaning is consistent across different departments and systems?

    Answer: Business glossary maintenance

    A business glossary standardizes definitions and ensures all stakeholders share a common understanding of each data element.

  2. In an MDM coexistence style, which of the following is TRUE?

    Answer: The hub publishes golden records back to source systems

    In coexistence MDM, the hub creates golden records and distributes them back to participating source systems.

  3. A data steward notices the same vendor exists under three slightly different names across ERP, CRM, and procurement. This is an example of:

    Answer: Data duplication / entity resolution problem

    Multiple representations of the same real-world entity across systems is the core entity resolution problem that MDM is designed to solve.

  4. What is the role of a reference data set in Master Data Management?

    Answer: It provides standardized code lists used to classify and validate master data

    Reference data (e.g., country codes, product categories, currency codes) provides the standardized values that classify and constrain master data attributes.

  5. Which technique is most commonly used in probabilistic matching within an MDM system?

    Answer: Fuzzy matching using weighted attribute scoring

    Probabilistic matching assigns confidence scores based on weighted comparisons of multiple attributes like name, address, and date of birth.

  6. Which standard framework is most widely referenced for classifying and managing enterprise metadata?

    Answer: DAMA-DMBOK

    DAMA-DMBOK (Data Management Body of Knowledge) is the primary reference framework for data management including metadata management.

  7. A data steward is asked to evaluate metadata completeness for a new dataset. Which dimension should they assess first?

    Answer: Whether required metadata fields (owner, definition, classification) are populated

    Metadata completeness is measured by whether mandatory fields—such as owner, business definition, sensitivity classification—are populated.

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