Quick Answer
The answer is Azure AI Language and Azure OpenAI Service. Azure AI Language provides the Custom Question Answering feature, which is a managed service specifically designed to create a knowledge base from your documents and FAQs, then respond with precise answers using a built-in extractive model. Azure OpenAI Service, on the other hand, is correct because it allows you to implement a custom question-answering system by using GPT models via the chat completions API, where you inject a system message and context documents to generate answers from your proprietary data. On the AI-102 exam, this question tests your ability to distinguish between purpose-built services versus generative AI approaches; a common trap is to select only Azure AI Language and forget that Azure OpenAI can also fulfill the requirement through prompt engineering. Remember the memory tip: “Language builds the library, OpenAI reads it aloud.”
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.
Which TWO Azure AI services can you use to implement a custom question-answering system?
Azure OpenAI Service
Azure OpenAI can be used to build custom Q&A with retrieval augmented generation.
Azure AI Bot Service
Why wrong: Bot Service hosts bots but does not provide Q&A capabilities itself.
Azure AI Translator
Why wrong: Translator is for translation, not Q&A.
Azure AI Language
Custom question-answering is a feature of Azure AI Language.
Azure AI Search
Why wrong: Search is for indexing and retrieval, not Q&A.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure OpenAI Service
Azure OpenAI Service is correct because it provides access to GPT models that can be fine-tuned or used with custom prompts to build a question-answering system. By leveraging the 'chat completions' API with a system message and context documents, you can implement a custom Q&A system that generates answers based on your proprietary data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure OpenAI Service
Why this is correct
Azure OpenAI can be used to build custom Q&A with retrieval augmented generation.
Related concept
Read the scenario before looking for a memorised answer.
Azure AI Bot Service
Why it's wrong here
Bot Service hosts bots but does not provide Q&A capabilities itself.
Azure AI Translator
Why it's wrong here
Translator is for translation, not Q&A.
Azure AI Language
Why this is correct
Custom question-answering is a feature of Azure AI Language.
Related concept
Read the scenario before looking for a memorised answer.
Azure AI Search
Why it's wrong here
Search is for indexing and retrieval, not Q&A.
Common exam traps
The trap here is that candidates often confuse Azure AI Search (a retrieval service) with a full question-answering system, forgetting that it only returns raw documents or passages and does not generate natural language answers, which requires a language model like Azure OpenAI Service or the custom question-answering feature in Azure AI Language.
Detailed technical explanation
Under the hood, Azure OpenAI Service uses transformer-based models (e.g., GPT-4) that generate answers via autoregressive token prediction. For custom Q&A, you can implement a 'retrieval augmented generation' (RAG) pattern where Azure AI Search retrieves relevant chunks from your indexed data, and then Azure OpenAI Service generates a concise answer from those chunks. A subtle behavior is that the model's response can be influenced by the 'temperature' parameter; setting it too high may produce creative but incorrect answers, while a low temperature (e.g., 0.0) yields more deterministic, factual responses.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
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..
The correct answer is: Azure OpenAI Service — Azure OpenAI Service is correct because it provides access to GPT models that can be fine-tuned or used with custom prompts to build a question-answering system. By leveraging the 'chat completions' API with a system message and context documents, you can implement a custom Q&A system that generates answers based on your proprietary data.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Same concept, more angles
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. A company needs to implement a chatbot that answers customer queries using a knowledge base. Which Azure AI service should be used to build the knowledge base?
easyWhy A: Azure AI Language's Question Answering feature is specifically designed to create a knowledge base from structured or unstructured content (e.g., FAQs, product manuals, support documents). It uses a custom question-answering model that can be trained and published as a REST API endpoint, which a chatbot can then query to retrieve precise answers. This makes it the correct service for building the knowledge base itself.
Last reviewed: Jun 24, 2026
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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