AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying a chatbot using Azure AI Bot Service and Language Understanding (LUIS). The bot must understand user intent from free-text input. Which component should you train?
⚠ Common exam trap
Watch out — candidates often confuse the role of LUIS with QnA Maker, assuming both handle any text input, but LUIS is for intent classification from free-text conversation, while QnA Maker is for retrieving answers from a fixed knowledge base, not for understanding dynamic user intents.
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
✓
Language Understanding (LUIS) model
The Language Understanding (LUIS) model is the correct component to train because the bot needs to interpret free-text user input and extract intent. LUIS is a natural language processing service specifically designed for intent recognition and entity extraction from conversational phrases. Training the LUIS model with labeled utterances teaches it to map user expressions to predefined intents, enabling the bot to understand and respond appropriately.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Language Understanding (LUIS) model
Why this is correct
LUIS extracts intents and entities from free-text input.
- ✗
Speech-to-text model
Why it's wrong here
Speech-to-text converts audio, not intent.
- ✗
QnA Maker knowledge base
Why it's wrong here
QnA Maker answers predefined questions, not free-form intents.
- ✗
Computer Vision model
Why it's wrong here
Computer Vision analyzes images, not text.
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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.