Guide-linked quiz · Medium Level

Document AI Quiz

Test OCR and reading order, table units, field provenance, valid-type errors, missing values, confidence limits, and document privacy.

Related guide pathsDocument AI
Question 1 of 8

A scanned invoice has no usable text layer. Which step can make its characters machine-readable?

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  1. A scanned invoice has no usable text layer. Which step can make its characters machine-readable?
    • Only changing the PDF filename
    • Only adding a category label
    • Only searching its metadata
    • Optical character recognition, with later verification
  2. A PDF has a text layer but two columns read in the wrong order. What is still needed?
    • Layout-aware interpretation of reading order
    • Another OCR pass guarantees the order
    • A larger font in the output
    • Only the document’s page count
  3. A table column says “Revenue, thousands of USD” and the row value is 250. What is the interpreted USD amount?
    • 250 USD regardless of heading
    • 25,000 USD by default
    • 250,000 USD if the heading applies to the row
    • The number cannot have units
  4. An extracted total is a valid number but has a misplaced decimal point. Which check can catch it?
    • Check only the numeric JSON type
    • Compare with the source and related arithmetic
    • Trust OCR confidence as proof
    • Ignore the source once parsing succeeds
  5. A required field is absent from a form. How should the system represent it?
    • As missing or explicitly unknown, not a plausible invented value
    • Guess from a similar prior form
    • Fill it with the most common value silently
    • Treat absence as evidence of zero
  6. Which record helps a reviewer check an extracted value?
    • Only a final summary with no source link
    • Only the model checkpoint size
    • Only the file upload timestamp
    • Page number, source text and bounding location
  7. Why does high OCR confidence not prove a complete extracted record is correct?
    • OCR confidence guarantees all table structure
    • Layout, row association and meaning may still be wrong
    • Every recognized word is a verified fact
    • The record has no fields
  8. What privacy scope should a document AI pipeline include?
    • Only the original PDF, not extracted data
    • Only the screen used to view the file
    • Original files plus derived text, embeddings and retention paths
    • Only the person who uploaded it

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