AI-102 Plan and manage an Azure AI solution Practice Question
Which TWO factors should you consider when choosing between Azure AI Document Intelligence and Azure AI Language for extracting information from documents?
⚠ Common exam trap
A common mix-up: candidates assume Azure AI Language can handle all text extraction tasks because of its name, overlooking that Document Intelligence is the specialized service for OCR, layout analysis, and structured data extraction from documents.
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
✓
Need to process handwritten text
Azure AI Document Intelligence (formerly Form Recognizer) is specifically designed to handle handwritten text through its 'Read' OCR model, which can extract printed and handwritten text from documents. Azure AI Language, on the other hand, focuses on natural language processing (NLP) tasks like sentiment analysis and entity recognition, and does not natively process handwritten content. Therefore, if your document contains handwritten notes, Document Intelligence is the appropriate service.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use of REST APIs
Why it's wrong here
Both support REST APIs.
- ✓
Need to process handwritten text
Why this is correct
Document Intelligence supports handwriting recognition.
- ✓
Need to extract tables from scanned PDFs
Why this is correct
Document Intelligence excels at table extraction from scans.
- ✗
Ability to extract key-value pairs
Why it's wrong here
Both can extract key-value pairs.
- ✗
Real-time processing requirements
Why it's wrong here
Both offer real-time processing.
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