UiPath-ADAv1 PDF Automation Practice Question
Which TWO of the following are valid ways to improve the accuracy of OCR in UiPath?
⚠ Common exam trap
Many candidates confuse layout-based activities with image-level enhancements, overlooking that character whitelisting and deskewing directly target the root causes of recognition failure.
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
✓
Use a character whitelist.
Improving OCR accuracy involves both preprocessing the image and choosing the right engine settings. Whitelisting characters ensures the engine only looks for relevant patterns, reducing errors. Deskewing corrects the alignment of the document, which is critical for consistent character recognition. These techniques are standard practice for developers to ensure reliable data extraction from noisy or poorly scanned document sources in real-world automation scenarios.
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 a character whitelist.
Why this is correct
Whitelisting allows developers to restrict the OCR engine to specific characters, such as numbers only for an invoice amount. This significantly reduces the likelihood of the engine misinterpreting characters, as it ignores invalid possibilities. It is a highly effective way to increase accuracy for specific fields in automation.
- ✓
Apply deskewing to the image.
Why this is correct
Deskewing straightens an image that was scanned at an angle, aligning the text lines with the OCR engine's processing grid. This is a crucial preprocessing step for scanned documents, as skewed text is significantly harder for engines to interpret correctly, leading to frequent character recognition errors and poor accuracy.
- ✗
Increase the timeout value.
Why it's wrong here
Timeout settings manage how long the robot waits for an action to complete. They have no impact on the quality of character recognition performed by the OCR engine. Increasing the timeout will not correct misread characters or improve the underlying clarity of the document being processed by the bot.
- ✗
Change the file format to PNG.
Why it's wrong here
While converting to PNG might be helpful in some edge cases, it is not a primary or standard method for improving OCR accuracy in UiPath. The focus should be on image quality, resolution, and engine configuration. Simply changing the format does not necessarily improve the underlying content clarity.
- ✗
Increase the number of activities.
Why it's wrong here
Adding more activities increases workflow complexity and maintenance without improving the accuracy of the underlying OCR engine. Optimization should happen at the engine or image processing level, not by adding redundant activities, which only serves to make the workflow harder to debug and potentially slower to execute.
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.