AI-102 Implement generative AI solutions Practice Question
A developer wants to integrate a pre-built AI model that can extract key information from invoices, such as vendor name, invoice date, and total amount. Which Azure AI service should they use?
⚠ Common exam trap
Candidates often confuse Azure AI Language's entity extraction capabilities with document-specific extraction, not realizing that Azure AI Document Intelligence is purpose-built for semi-structured documents like invoices and forms.
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 to extract structured data from documents like invoices, including fields such as vendor name, invoice date, and total amount. It uses pre-built models trained on common document types, making it ideal for this use case without requiring custom training.
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
Why it's wrong here
Azure AI Language handles text analytics such as entity recognition, sentiment and summarisation, not structured field extraction from invoice layouts. It is tempting because it processes documents, and would be correct for extracting named entities from plain text rather than pre-built invoice fields.
- ✗
Azure OpenAI Service
Why it's wrong here
Azure OpenAI Service generates and reasons over text via prompts; it provides no pre-built invoice model returning vendor, date and total. It is tempting because it can extract fields with careful prompting, and would be correct for bespoke generative scenarios lacking a dedicated pre-trained model.
- ✓
Azure AI Document Intelligence
Why this is correct
Azure AI Document Intelligence provides pre-built invoice models that extract structured fields such as vendor name, invoice date and total amount from documents, requiring no custom training. This directly matches the requirement for a pre-built extraction model.
- ✗
Azure Cognitive Search
Why it's wrong here
Cognitive Search indexes and queries existing content; it cannot extract vendor fields from invoice documents. It is tempting because it does provide document cracking and enrichment pipelines, and would be the right choice for making already-extracted invoice text searchable across a corpus.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.