AI-103 Information Extraction Practice Question
When building a custom template model in Azure AI Document Intelligence Studio, which THREE types of data or attributes can you extract by labeling your training documents? (Choose THREE)
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
✓
Tables (including row and column structures)
Custom template models allow labeling fields, tables, and selection marks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Facial biometric embeddings
Why it's wrong here
Facial recognition is handled by Azure AI Vision, not Document Intelligence.
- ✗
Real-time audio transcription timestamps
Why it's wrong here
Audio transcription is handled by Azure AI Speech, not Document Intelligence.
- ✓
Tables (including row and column structures)
Why this is correct
Custom tables can be labeled to extract line items and grid data.
- ✓
Selection marks (checkboxes and radio buttons)
Why this is correct
Selection marks can be labeled as selected or unselected.
- ✓
Fields (key-value pairs)
Why this is correct
Custom fields are a core entity type you can label and extract.
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 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.