Practice Test Geeks(CDIA) Certified Document Imaging Architect Practice Test
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Indexing & Metadata Management Flashcards

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

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  1. In document imaging, what is the primary purpose of indexing?

    Answer: To enable fast and accurate document retrieval

    Indexing creates searchable attributes or tags associated with a document so users can quickly locate and retrieve it.

  2. Which type of indexing assigns predefined category values from a fixed list to a document field?

    Answer: Controlled vocabulary indexing

    Controlled vocabulary indexing uses a predetermined set of acceptable values for index fields, ensuring consistency across the document repository.

  3. What is full-text indexing in a document management system?

    Answer: Indexing every word within the document content for search

    Full-text indexing captures and indexes every word in a document's content, enabling keyword searches across the entire body of stored documents.

  4. What is the role of OCR (Optical Character Recognition) in document indexing?

    Answer: It converts scanned image text into machine-readable characters for indexing

    OCR converts raster text images into machine-readable text, enabling full-text search and automated metadata extraction from scanned documents.

  5. Which metadata standard, developed by the Dublin Core Metadata Initiative, provides 15 core elements for describing digital resources?

    Answer: Dublin Core

    Dublin Core is a widely adopted metadata standard offering 15 simple, interoperable elements (e.g., title, creator, date) for describing digital resources.

  6. What is a document index field?

    Answer: A specific attribute or data element used to identify and retrieve a document

    An index field is a named attribute (e.g., invoice number, date, vendor name) assigned to a document to enable targeted searching and retrieval.

  7. What is zone OCR in the context of document indexing?

    Answer: OCR that extracts text from predefined regions of a document page

    Zone OCR targets specific, predefined areas of a document (such as a header or form field) to extract index data, improving accuracy and speed over full-page OCR.