AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying a custom Azure AI Language question answering project. The solution must only answer questions based on a specific set of internal FAQ documents. Which data source type should you use when creating the project?
⚠ Common exam trap
It's easy for candidates to confuse the data source types for creating a custom project with the broader integration options (like Cognitive Search or SQL), leading them to select a wrong option that is technically possible but not the correct data source type for the initial project creation.
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
✓
URLs or files containing FAQ content
Azure AI Language custom question answering is designed to ingest structured FAQ content from URLs or files. When you create a custom project, selecting 'URLs or files containing FAQ content' as the data source type allows the service to automatically extract question-answer pairs from the provided documents, ensuring the solution only answers questions based on that specific set of internal FAQs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
URLs or files containing FAQ content
Why this is correct
Custom question answering allows URLs or files as data sources.
- ✗
Prebuilt model from Azure AI Language
Why it's wrong here
Prebuilt models do not use your custom documents.
- ✗
Azure SQL Database with a QnA Maker schema
Why it's wrong here
QnA Maker is deprecated; Language Studio uses its own data sources.
- ✗
Azure Cognitive Search index
Why it's wrong here
Cognitive Search index is not a data source for Language Studio question answering.
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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.