AI-102 Plan and manage an Azure AI solution Practice Question
A company wants to use Azure AI services to extract text from scanned PDF documents. Which Azure AI service should they use?
⚠ Common exam trap
Many exam-takers confuse the general-purpose Computer Vision OCR API with the specialized Document Intelligence service, overlooking that Document Intelligence offers superior layout understanding and prebuilt models for document-centric extraction tasks.
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 (formerly Form Recognizer) is the correct service because it is specifically designed for extracting text, tables, and key-value pairs from scanned PDFs and images using optical character recognition (OCR) and deep learning models. Unlike general OCR APIs, Document Intelligence can handle complex layouts and preserve document structure, making it ideal for this use case.
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 Language Understanding (LUIS)
Why it's wrong here
LUIS extracts intents and entities from text that already exists; it cannot read pixels from a scanned PDF, so no text is produced. It is tempting because it is a text-processing Azure AI service, and would be correct for interpreting user utterances in a conversational application.
- ✓
Azure AI Document Intelligence
Why this is correct
Scanned PDFs contain images, not embedded text, so optical character recognition is required. Azure AI Document Intelligence's prebuilt read model performs OCR and layout extraction, returning text and structure from image-only documents, which satisfies the extraction requirement.
- ✗
Azure AI Computer Vision API
Why it's wrong here
The Computer Vision API handles images, but scanned PDFs require the Read OCR capability, which extracts printed and handwritten text from document pages. It is tempting because OCR is a vision task, and would be correct for reading text from a single image file rather than a multi-page PDF.
- ✗
Azure Cognitive Search
Why it's wrong here
Cognitive Search indexes and queries already-extracted content; it does not perform OCR on scanned PDFs itself, so no text is produced from images. It is tempting because it offers full-text search over documents, and would be correct once text has been extracted and needs indexing and querying.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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