AI-102 Plan and manage an Azure AI solution Practice Question
You are building a chatbot using Azure AI Bot Service and Language Service. The bot must recognize user intent for 'check order status'. How should you configure the Language Service?
⚠ Common exam trap
Watch out — candidates often confuse intent recognition with entity extraction or QnA, assuming any Language Service feature can handle intents, but only custom intent classification (or conversational language understanding) is designed for this purpose.
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 intent classification project
To recognize user intent for 'check order status', you need a custom intent classification project in Azure Language Service. This project type uses a trained model to map utterances to specific intents, such as 'CheckOrderStatus', which is exactly what the chatbot requires. Prebuilt models or QnA Maker do not provide custom intent recognition.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a custom intent classification project
Why this is correct
Intent classification trains a model to map utterances to intents.
- ✗
Deploy a QnA Maker knowledge base
Why it's wrong here
QnA Maker provides question-answering, not intent recognition.
- ✗
Configure a sentiment analysis endpoint
Why it's wrong here
Sentiment analysis gauges positive/negative tone, not intent.
- ✗
Use the prebuilt entity extraction model
Why it's wrong here
Entity extraction identifies data points, not intents.
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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.