- A
Azure AI Language (Question Answering)
Question Answering is specifically for creating knowledge bases.
- B
Azure Bot Service
Why wrong: Bot Service hosts bots but does not create knowledge bases.
- C
Azure AI Translator
Why wrong: Translator is for translation.
- D
Azure AI Speech
Why wrong: Speech is for speech-to-text and text-to-speech.
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.
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?
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
Azure AI Language (Question Answering)
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.
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.
- ✓
Azure AI Language (Question Answering)
Why this is correct
Question Answering is specifically for creating knowledge bases.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Bot Service
Why it's wrong here
Bot Service hosts bots but does not create knowledge bases.
- ✗
Azure AI Translator
Why it's wrong here
Translator is for translation.
- ✗
Azure AI Speech
Why it's wrong here
Speech is for speech-to-text and text-to-speech.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the chatbot orchestration service (Azure Bot Service) with the knowledge base service itself, forgetting that the Bot Service is a host for the bot logic and channel integration, while the knowledge base must be built using a dedicated AI service like Question Answering.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Language's Question Answering uses a transformer-based extractive model that ranks answer spans from the provided source documents. It supports both automatic extraction from URLs or files and manual curation via the Language Studio portal. A subtle behavior is that the service can also handle multi-turn conversations and active learning, where it suggests alternative phrasings to improve answer coverage over time.
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.
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FAQ
Questions learners often ask
What does this AI-102 question test?
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: Azure AI Language (Question Answering) — 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.
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.
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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Last reviewed: Jun 11, 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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