The correct first step is to use the Azure AI Language service with the custom question answering feature to import the PDFs. This is because the custom question answering feature is purpose-built to ingest documents like PDFs, automatically extracting question-answer pairs and structuring them into a deployable knowledge base, eliminating the need for separate search indexing or bot orchestration. On the AI-102 exam, this scenario tests your understanding of the Azure AI Language ecosystem’s specialized tools versus generic search services like Azure Cognitive Search or bot frameworks like Azure Bot Service—a common trap is to overcomplicate the solution by adding unnecessary components. Remember, when the goal is to create a knowledge base directly from source documents, the custom question answering feature is the native, end-to-end pipeline. A simple memory tip: “PDFs go straight to QA” — think of the custom question answering feature as the direct bridge between your documents and a working Q&A system.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
Option C is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 is a platform, but the primary import mechanism is through Language service.
✗
Create an index in Azure AI Search and upload the documents
Why it's wrong here
Azure AI Search is used for search, not custom question answering.
✓
Use the Azure AI Language service with the custom question answering feature and import the documents
Why this is correct
Custom question answering can ingest PDFs directly.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Deploy an Azure AI Bot Service and connect it to the documents
Why it's wrong here
Bot Service is for bot runtime, not for importing documents into a knowledge base.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Under the hood, the custom question answering feature uses a pre-built extractive model that scans PDFs, identifies potential question-answer pairs based on document structure and language patterns, and stores them in a knowledge base that can be queried via the Runtime API. A subtle behavior is that the service automatically performs OCR on scanned PDFs and can handle multi-turn conversations by maintaining context across queries. In a real-world scenario, if you need to update the knowledge base with new PDFs, you can re-import documents and the service will merge new QnA pairs without losing existing ones.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the Azure AI Language service with the custom question answering feature and import the documents — Option C is correct because 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. 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?
easy
✓ A.URLs or files containing FAQ content
B.Prebuilt model from Azure AI Language
C.Azure SQL Database with a QnA Maker schema
D.Azure Cognitive Search index
Why A: Option A is correct because 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.
Variation 2. Drag and drop the steps to create a custom question answering project in Azure Language Service into the correct order.
medium
Why : First, create the Azure resource. Then access Language Studio, create the project, add QnA pairs, and finally train and deploy.
Last reviewed: Jun 24, 2026
Question Discussion
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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.
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