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Metadata Strategy and Design Flashcards

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

Read the first 7 Metadata Strategy and Design flashcards as text
  1. Which metadata element is MOST critical for supporting data lineage tracking in an enterprise data warehouse?

    Answer: Source system identifier and transformation history

    Source system identifier combined with transformation history enables tracing data from origin through all processing steps, which is the foundation of data lineage.

  2. An organization wants to implement a federated metadata repository. What is the PRIMARY advantage of this approach over a centralized repository?

    Answer: Allows domains to maintain local control while sharing a unified view

    Federated repositories enable domain autonomy and local governance while still providing an integrated enterprise view through shared standards.

  3. What does the term 'metadata harvesting' refer to in the context of metadata management?

    Answer: Automatically extracting metadata from source systems and assets

    Metadata harvesting is the automated process of discovering and extracting metadata from source systems, databases, and data assets.

  4. In Dublin Core metadata standard, which element is used to describe the topic or subject matter of a resource?

    Answer: dc:subject

    The dc:subject element in Dublin Core is used to describe the topic, keywords, or classification of the resource's intellectual content.

  5. A metadata architect is designing a system where metadata must describe other metadata records. This is an example of:

    Answer: Meta-metadata

    Meta-metadata (metadata about metadata) captures provenance, version, and quality information about the metadata records themselves.

  6. Which approach BEST supports metadata reuse across multiple business domains in an enterprise?

    Answer: Developing a canonical metadata model with domain extensions

    A canonical metadata model provides a shared foundation that all domains can extend, enabling reuse while accommodating domain-specific needs.

  7. What is the purpose of a metadata registry in an enterprise architecture?

    Answer: To provide a centralized authoritative source for metadata definitions and standards

    A metadata registry serves as the authoritative source for agreed-upon definitions, data element specifications, and metadata standards across the enterprise.