AI-103 Computer Vision Practice Question
You are using Azure AI Vision Read API in your application. You want to ensure that the extracted text blocks return word-level bounding polygons rather than just line-level bounding boxes. What parameter or response structure should you examine?
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
✓
Examine the 'words' array within each returned 'lines' object in the JSON response payload.
The Read API response structure automatically includes word-level details inside each line object (`lines[*].words[*]`), providing bounding polygons for both lines and individual words.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add ?wordLevel=true to the query string.
Why it's wrong here
Word-level details are returned by default in the Read result payload without requiring a special query parameter.
- ✓
Examine the 'words' array within each returned 'lines' object in the JSON response payload.
Why this is correct
The JSON response for Read results contains line objects which include nested word objects with individual bounding polygons.
- ✗
Call the legacy OCR endpoint instead.
Why it's wrong here
Legacy OCR is deprecated and provides inferior structuring compared to the Read API.
- ✗
Set the model-version parameter to v2.0.
Why it's wrong here
Older model versions lack the advanced parsing features of version 4.0.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft 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 AI-103 exam.