AI-102 Implement computer vision solutions Practice Question
You are designing an Azure AI Vision solution that must detect and extract text from identity documents such as passports and driver's licenses. The solution must also identify the document type and extract key fields like name and date of birth. You need to choose the appropriate Azure AI service and features. (Choose two.)
⚠ Common exam trap
The trap here is assuming that any OCR service can extract structured fields from identity documents, when only specialized Document Intelligence models provide that capability.
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 with the prebuilt-idDocument model
The prebuilt-idDocument model in Azure AI Document Intelligence is specifically designed to analyze identity documents and extract fields like name and date of birth. A custom extraction model in the same service can also be trained to extract custom fields and classify document types when prebuilt models are insufficient. The Read API and Image Analysis read feature only extract text without structured field extraction, and the prebuilt-receipt model is for receipts, not identity 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.
- ✗
Azure AI Vision Read API
Why it's wrong here
The Read API extracts printed and handwritten text from images and documents, but it does not identify document types or extract structured fields like name and date of birth. It returns only text lines and words. While it could read text from an identity document, it would not provide the structured field extraction or document classification required by the scenario.
- ✓
Azure AI Document Intelligence with the prebuilt-idDocument model
Why this is correct
The prebuilt-idDocument model in Azure AI Document Intelligence is specifically trained to analyze identity documents such as passports and driver's licenses. It extracts key fields like name, date of birth, document number, and expiration date, and it identifies the document type. This directly meets the requirement for detecting and extracting text and fields from identity documents.
- ✗
Azure AI Vision Image Analysis with the read feature
Why it's wrong here
The Image Analysis read feature is essentially the Read API and extracts text without understanding document structure or identifying document types. It cannot extract specific fields like name or date of birth from identity documents. It is a general OCR tool, not a specialized document analysis service, so it fails to meet the structured extraction requirement.
- ✗
Azure AI Document Intelligence with the prebuilt-receipt model
Why it's wrong here
The prebuilt-receipt model is designed for sales receipts, not identity documents. It extracts fields such as merchant name, transaction date, and total, which are irrelevant to passports or driver's licenses. Using it would not correctly identify the document type or extract the required identity fields, making it unsuitable for this scenario.
- ✓
Azure AI Document Intelligence with a custom extraction model
Why this is correct
A custom extraction model in Azure AI Document Intelligence can be trained on your own labeled identity documents to extract specific fields and classify document types. If the prebuilt-idDocument model does not cover all required fields or document variations, a custom model provides the flexibility to meet exact needs. This is a valid choice for extracting structured data from identity documents.
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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
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