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.
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?
URLs or files containing FAQ content
Custom question answering allows URLs or files as data sources.
Prebuilt model from Azure AI Language
Why wrong: Prebuilt models do not use your custom documents.
Azure SQL Database with a QnA Maker schema
Why wrong: QnA Maker is deprecated; Language Studio uses its own data sources.
Azure Cognitive Search index
Why wrong: Cognitive Search index is not a data source for Language Studio question answering.
Answer choices
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
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.
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.
URLs or files containing FAQ content
Why this is correct
Custom question answering allows URLs or files as data sources.
Related concept
Read the scenario before looking for a memorised answer.
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.
Common exam traps
The trap here is that candidates may 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.
Detailed technical explanation
Under the hood, Azure AI Language custom question answering uses a transformer-based ranker that processes the ingested FAQ content into a knowledge base of QnA pairs. When a user query is submitted, the service performs semantic matching against these pairs, returning the most relevant answer with a confidence score. In a real-world scenario, if you have a set of internal HR policy PDFs, you would upload them as files, and the service automatically extracts question-answer pairs by analyzing document structure, such as headings and bullet points.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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 — study guide chapter
Learn the concepts, then practise the questions
Plan and manage an Azure AI solution practice questions
Targeted practice on this topic area only
All AI-102 questions
988 questions across all exam domains
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-102 questions linked to Implement an agentic solution.
Practise AI-102 questions linked to Implement computer vision solutions.
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Practise AI-102 questions linked to Implement image and video processing solutions.
Practise AI-102 questions linked to Implement natural language processing solutions.
Practise AI-102 questions linked to Implement generative AI solutions.
Practise AI-102 questions linked to Implement agentic AI solutions.
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Practise AI-102 questions linked to Implement content moderation solutions.
Practise AI-102 questions linked to AI-102 fundamentals.
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: URLs or files containing FAQ content — 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.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.