Quick Answer
The answer is the Read API. This is the correct capability within Azure AI Document Intelligence for extracting text from scanned French documents because the Read API is specifically designed for optical character recognition (OCR) across multiple languages, including French, and can handle both printed and handwritten text from scanned images. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of which prebuilt model to choose for language-specific OCR tasks, often presenting traps like the Layout model (which focuses on structure and tables, not guaranteed language support) or the prebuilt invoice model (which is domain-restricted). The key distinction is that Read API is the general-purpose OCR engine optimized for text extraction in over 100 languages, making it the direct answer for multilingual scanned documents. Memory tip: think "Read for raw text, Layout for layout, Custom for your own data."
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are extracting text from scanned documents that are in French. Which capability of Azure AI Document Intelligence should you use?
Custom model
Why wrong: Custom model requires training data.
Read API
Read API supports OCR in over 100 languages.
Layout model
Why wrong: Layout model may not handle all languages.
Prebuilt invoice model
Why wrong: Invoice model is specialized for invoices.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Read API
Option C is correct because the Read API supports multiple languages including French for OCR. Option A is wrong because the Layout model extracts tables but not necessarily text in specific languages. Option B is wrong because the custom model requires training. Option D is wrong because the prebuilt invoice model is for invoices and may not support all languages or general text extraction.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Custom model
Why it's wrong here
Custom model requires training data.
Read API
Why this is correct
Read API supports OCR in over 100 languages.
Related concept
Read the scenario before looking for a memorised answer.
Layout model
Why it's wrong here
Layout model may not handle all languages.
Prebuilt invoice model
Why it's wrong here
Invoice model is specialized for invoices.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Read API — Option C is correct because the Read API supports multiple languages including French for OCR. Option A is wrong because the Layout model extracts tables but not necessarily text in specific languages. Option B is wrong because the custom model requires training. Option D is wrong because the prebuilt invoice model is for invoices and may not support all languages or general text extraction.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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