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Data Governance & Quality Management Flashcards

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

Read the first 7 Data Governance & Quality Management flashcards as text

  1. In Informatica MDM's data quality lifecycle, which stage comes immediately after standardization and before match/merge?

    Answer: Tokenization

    Tokenization generates match tokens from standardized data, enabling efficient comparison during the match phase before records are merged.

  2. A governance committee wants to track who approved a merge of two customer records in Informatica MDM. Which capability provides this audit trail?

    Answer: MDM Hub audit logging and history tables

    MDM Hub maintains audit logs and history tables (e.g., _HIST tables) that record every change, approval, and merge action along with the user who performed it.

  3. What is the role of a 'data domain' in the context of Informatica MDM governance?

    Answer: A logical grouping of related master data entities subject to unified stewardship policies

    A data domain defines a governance boundary around related entities (e.g., Customer, Product) so that consistent policies, ownership, and quality rules can be applied cohesively.

  4. Which metric is most directly associated with measuring data completeness in an Informatica MDM golden record?

    Answer: Percentage of mandatory attributes populated across all master records

    Completeness is measured by how many required fields are populated; tracking the fill rate of mandatory attributes directly reflects this dimension.

  5. In Informatica MDM Hub, what happens to a record placed in a 'pending' state within the workflow?

    Answer: It is held for steward review before being promoted to the base object

    Pending records are routed through a stewardship workflow where a data steward must review and approve them before they affect the master data store.

  6. Which Informatica MDM mechanism allows a data governance team to define time-based validity for master data attributes?

    Answer: Effective-date columns and timeline management in the base object

    MDM Hub supports effective-date metadata on base object records, enabling governance of which attribute values are valid for a given time period.

  7. In a data governance framework layered on top of Informatica MDM, what is the primary purpose of a data glossary?

    Answer: To provide agreed-upon business definitions for data elements used in MDM entities

    A data glossary captures business-agreed definitions, ownership, and context for data terms, ensuring consistent understanding across teams using MDM.