AI-102 Plan and manage an Azure AI solution Practice Question
Your team is building a custom question-answering solution using Azure AI Language. The solution must be able to answer questions based on a set of PDF documents. You need to import the documents and create a knowledge base. What should you do first?
⚠ Common exam trap
Test-takers frequently confuse Azure AI Search (a general-purpose search service) with the custom question answering feature, which is purpose-built for extracting and managing QnA pairs from documents, leading them to choose Option B incorrectly.
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
✓
Use the Azure AI Language service with the custom question answering feature and import the documents
The custom question answering feature of Azure AI Language is specifically designed to ingest documents (including PDFs) and build a knowledge base that can be used for question-answering. This feature provides a built-in pipeline to extract question-answer pairs from documents, create a knowledge base, and deploy it as a service without needing additional search indexing or bot orchestration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure AI Foundry to create a project and upload the documents
Why it's wrong here
Azure AI Foundry builds generative AI applications and agent workflows; it does not create the Language service question-answering knowledge base that this scenario requires. It is tempting because Foundry hosts document-grounded chat experiences, but the first step here is provisioning an Azure AI Language resource and importing the PDFs as question-answering sources.
- ✗
Create an index in Azure AI Search and upload the documents
Why it's wrong here
Azure AI Search indexing is an internal step performed automatically when the knowledge base is created from documents; doing it manually first is unnecessary. It is tempting because custom search solutions do require an index, but question answering builds one for you.
- ✓
Use the Azure AI Language service with the custom question answering feature and import the documents
Why this is correct
Custom question answering ingests PDF documents as sources and builds the knowledge base from them. Importing the documents into the Azure AI Language custom question answering project is the prerequisite step before training and publishing the knowledge base.
- ✗
Deploy an Azure AI Bot Service and connect it to the documents
Why it's wrong here
Bot Service provides a conversational front end and cannot import PDFs or build a knowledge base. It is tempting because bots commonly surface question-answering results to users, and would be correct at the deployment stage, after the knowledge base exists.
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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.