AI-102 Practice Question: Implement natural language processing solutions
Which THREE components are required to build a custom question-answering solution using Azure AI Language Service?
⚠ Common exam trap
Candidates often assume Azure AI Search is mandatory because it is used in other Azure AI services like Cognitive Search, but for custom question answering the search index is automatically provisioned and managed by the Language Service itself.
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
✓
A bot channel registration or web app to interact with users
A bot channel registration or web app is the front-end interface that allows users to submit questions and receive answers from the custom QnA solution. Without this interaction layer, the knowledge base cannot be queried by end users, making it an essential component for a complete solution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A bot channel registration or web app to interact with users
Why this is correct
A client interface is needed for users to submit questions.
- ✓
An Azure AI Language Service resource
Why this is correct
The Language Service hosts the Custom Question Answering feature.
- ✓
A set of FAQ documents or web pages as the knowledge source
Why this is correct
Knowledge sources provide the content for Q&A.
- ✗
An Azure AI Search index
Why it's wrong here
Custom Question Answering uses its own built-in index.
- ✗
An Azure Functions app for serverless compute
Why it's wrong here
Azure Functions is not required for the core Q&A functionality.
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JA
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.