AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are building a question answering solution using Azure AI Language. You have a set of frequently asked questions (FAQs) in a Word document. You need to import the FAQs into a project. Which approach should you use?
⚠ Common exam trap
AI-102 often tests the confusion between Document Intelligence (for form and document extraction) and custom question answering (for FAQ knowledge bases), leading candidates to pick Document Intelligence for QnA import.
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
✓
Create a custom question answering project and import the Word document as a source.
Azure AI Language's custom question answering feature allows you to create a project and import a Word document directly as a source, automatically extracting question-and-answer pairs. This is the intended approach for ingesting FAQ documents into a knowledge base.
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 Azure AI Document Intelligence to extract QnA pairs.
Why it's wrong here
Document Intelligence extracts layout, text and key-value pairs, but does not produce question-and-answer pairs for a knowledge base. It is tempting because it parses Word documents, and it would be correct for extracting structured fields such as invoice totals or form entries.
- ✓
Create a custom question answering project and import the Word document as a source.
Why this is correct
Custom question answering ingests FAQ documents directly, extracting question-and-answer pairs automatically, so the Word file becomes a project source without manual reformatting. This satisfies the requirement to import existing FAQs into the project rather than authoring them by hand.
- ✗
Use the prebuilt question answering API to parse the document.
Why it's wrong here
The prebuilt question answering API answers against a supplied passage or document at query time; it does not import FAQ pairs into a project's knowledge base. It is tempting because it is question answering, and it would be correct for answering questions over text passed in the request.
- ✗
Use conversational language understanding (CLU) to extract intents and entities.
Why it's wrong here
CLU extracts intents and entities for utterance-based conversational flows; it does not ingest a document's question-and-answer pairs into a knowledge base. It is tempting because both live in Azure AI Language, and CLU would be correct for building intent classification and slot filling.
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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
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.