AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Which TWO Azure AI services are most appropriate for extracting text from images and recognizing handwritten text?
⚠ Common exam trap
AI-102 often tests whether candidates conflate text-analytics services (Language, Search) with OCR services — the exam wants the two services that actually perform image and handwriting text extraction.
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
✓
Azure AI Document Intelligence
Azure AI Document Intelligence (option A) is correct because it provides prebuilt and custom models that perform OCR and extract text, key-value pairs, and tables from documents, including support for handwritten text via its Read and Layout models. Azure AI Vision (option C) is correct because its Image Analysis and OCR capabilities, including the Read API, are specifically designed to extract printed and handwritten text from images. Azure AI Speech (option B) is incorrect because it handles speech-to-text and text-to-speech, not text extraction from images. Azure AI Search (option D) is incorrect because it is a search indexing and query service, not an OCR or handwriting recognition service. Azure AI Language (option E) is incorrect because it focuses on natural language processing tasks such as sentiment analysis, entity recognition, and translation, not image text extraction.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure AI Document Intelligence
Why this is correct
Azure AI Document Intelligence reads text from images and PDFs, and its Read model handles both printed and handwritten content. That dual capability satisfies the stem's requirement to extract text from images and recognise handwriting in one service.
- ✗
Azure AI Speech
Why it's wrong here
Azure AI Speech transcribes spoken audio into text; it processes acoustic signals, not pixels, so it cannot extract characters from images or handwriting. It is tempting because it also performs text recognition, but that applies to speech-to-text, pronunciation assessment and voice-enabled scenarios, where the input is audio rather than a scanned document or photograph.
- ✓
Azure AI Vision
Why this is correct
Azure AI Vision's Read OCR capability extracts printed and handwritten text from images, covering both requirements in the stem. It processes image files directly, making it appropriate alongside Document Intelligence for the handwriting recognition scenario.
- ✗
Azure AI Search
Why it's wrong here
Azure AI Search indexes and queries content already extracted; it does not read pixels, so handwriting in images stays unrecognised. It suits full-text search and ranking over a populated index, not optical character recognition itself.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language processes and analyses existing text for sentiment, entities and key phrases; it performs no optical character recognition on image pixels. It suits text analytics over documents already transcribed, not extracting characters from images.
Go deeper
Related to this question
About these practice questions
One of 761 original AI-102 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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 Microsoft exam blueprint
This AI-102 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-102 exam.