Describe features of Natural Language Processing workloads on Azure →mediumMultiple ChoiceObjective-mapped
Custom Question Answering for PDF FAQ Chatbot
A university wants to build a chatbot that can answer questions about its admission procedures. The chatbot should retrieve answers directly from a set of official PDF documents containing policies and FAQs. Which Azure AI Language feature should they use to implement this?
Quick Answer
The correct choice is Custom Question Answering, because it is specifically designed to ingest official PDF documents and build a curated knowledge base of question-answer pairs that a chatbot can query directly. This Azure AI Language feature uses a natural language processing model to extract and match user questions against the ingested content, making it ideal for domain-specific, document-based Q&A scenarios like admission procedures. On the AI-900 exam, this scenario tests your understanding of how Custom Question Answering differs from other Azure AI Language features such as Conversational Language Understanding or Prebuilt QnA Maker—the key trap is confusing it with general-purpose text analytics or translation services. A common memory tip is to think of the acronym PDF: “P” for policies, “D” for documents, and “F” for FAQs, all of which Custom Question Answering directly ingests to power the chatbot.
⚠ Common exam trap
It's easy for candidates to confuse key phrase extraction (B) with question answering, thinking that extracting key phrases is sufficient to answer questions, but key phrase extraction only lists terms without providing any answer retrieval or ranking logic.
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
✓
Custom question answering
Custom question answering (C) is the correct choice because it allows the university to ingest official PDF documents and create a knowledge base of question-answer pairs. The chatbot can then retrieve answers directly from this curated content, making it ideal for domain-specific, document-based Q&A scenarios like admission procedures.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis determines the emotional tone of text, not question answering from documents.
- ✗
Key phrase extraction
Why it's wrong here
Key phrase extraction identifies important phrases, but does not provide question-answering capabilities.
- ✓
Custom question answering
Why this is correct
Correct. Custom question answering builds a knowledge base from sources like PDFs and FAQs to answer user queries.
- ✗
Language detection
Why it's wrong here
Language detection identifies the language of text, not question answering.
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Azure Machine Learning Studio
Key term
Feature
A feature is a distinct unit of functionality that delivers value to the user, often managed and tracked throughout the software development lifecycle.
Key term
Azure AI Language
Azure AI Language is a cloud-based service from Microsoft that uses natural language processing to understand, analyze, and generate human language for applications.
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Same concept, more angles
1 more way this is tested on AI-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A travel agency wants to build a chatbot that can automatically answer customer questions about flight status by extracting answers from a PDF document containing FAQs. Which Azure AI Language feature should they use to directly query this content?
easy- A.Conversational Language Understanding (CLU)
- ✓ B.Question Answering
- C.Text Analytics for health
- D.Translator
Why B: Question Answering, is correct because it is specifically designed to extract answers directly from a provided document (such as a PDF FAQ) by using a pre-built or custom knowledge base. The travel agency can upload the PDF, and the service will return precise answers to user queries without requiring intent classification or entity extraction, which is exactly what is needed for querying flight status from a static FAQ document.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 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-900 exam.