UiPath-ADAv1 PDF Automation Practice Question
A developer uses the Digitize Document activity with the UiPath Document OCR engine on a scanned invoice PDF. The resulting Document Object Model returns correct text for printed fields, but several checkbox selections are reported as empty. Which action will most reliably capture the checkbox states?
⚠ Common exam trap
The trap here is assuming that any OCR engine that reads printed text will also interpret checkbox marks as true or false values.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable the checkbox detection capability by using the Intelligent Form Extractor or a specialized ML model for checkbox recognition.
Checkbox states are visual form controls, not plain text, so a generic OCR engine like UiPath Document OCR will not populate them in the DOM. The Intelligent Form Extractor and purpose-built ML models are designed to detect and classify such controls, returning checkbox values as structured data. This makes them the reliable choice when scanned forms contain checkboxes that must be read accurately.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Form Extractor activity configured with the checkbox labels as anchors and the checkbox areas as fields.
Why it's wrong here
Form Extractor is designed for structured or semi-structured forms and can target checkbox regions, but it still relies on the underlying OCR text or image templates. For arbitrary scanned invoices with varying layouts, anchor-based checkbox extraction is brittle and does not reliably interpret the visual state of a checkbox, so empty results can persist unless the template is tightly controlled.
- ✓
Enable the checkbox detection capability by using the Intelligent Form Extractor or a specialized ML model for checkbox recognition.
Why this is correct
Intelligent Form Extractor and specialized ML models are trained to recognize form controls including checkboxes, returning their states as structured fields. Because the scanned invoice contains non-textual checkbox marks that the generic Document OCR engine cannot classify, this approach provides the semantic understanding needed to capture selected or unselected values reliably.
- ✗
Switch the Digitize Document engine to Google Cloud Vision OCR, which supports checkbox detection.
Why it's wrong here
Google Cloud Vision OCR returns text and some layout information, but it does not expose a dedicated checkbox state classification in the DOM produced by Digitize Document. The checkbox remains a graphical element rather than a recognized control, so the DOM will still not report selected or unselected states for those fields.
- ✗
Set the ApplyOcrOnPdf property to true and re-run Digitize Document with the same engine.
Why it's wrong here
ApplyOcrOnPdf only controls whether OCR is applied to PDF pages that already contain a text layer; the invoice is scanned and already being OCRed, so toggling this does not add checkbox detection. The checkbox glyphs are non-textual marks, and the UiPath Document OCR engine does not classify them as form controls, so the DOM remains empty for those fields.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official UiPath exam blueprint
This UiPath-ADAv1 practice question is part of Courseiva's free UiPath certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the UiPath-ADAv1 exam.