AI-103 Information Extraction Practice Question
You are designing an information extraction solution using Azure AI Document Intelligence. Which TWO features are supported by Custom Neural models? Each correct selection represents a complete solution element.
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
✓
Extraction of key-value pairs and fields defined during training
Custom Neural models support extracting both individual key-value fields and complex tables from unstructured or semi-structured documents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Extraction of key-value pairs and fields defined during training
Why this is correct
Custom Neural models extract user-defined fields and key-value pairs based on training labels.
- ✗
Zero-shot extraction of completely unseen document types without any training data
Why it's wrong here
Custom models always require training data; zero-shot extraction is handled by prebuilt models.
- ✓
Extraction of tables from documents with variable layouts
Why this is correct
Custom Neural models support table extraction across variable layouts.
- ✗
Real-time voice-to-text transcription of document contents
Why it's wrong here
Voice transcription is handled by Azure AI Speech, not Document Intelligence.
- ✗
Automatic language translation of extracted text into 100+ languages
Why it's wrong here
Translation is handled by Azure AI Translator, not Document Intelligence.
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.