Quick Answer
The answer is a project in Azure AI Language and a set of labeled documents for training. These two components are the foundational requirements for custom text classification in Azure AI Language because the service uses a project-based workflow where you define your schema, upload your data, and train a model specifically on your labeled examples—no other Azure service is involved. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your ability to distinguish the core custom text classification pipeline from other AI services like LUIS or QnA Maker, which are designed for different tasks such as intent recognition or FAQ extraction. A common trap is confusing LUIS with custom text classification, but remember that LUIS is for conversational language understanding, not document-level classification. For a quick memory tip: think “Project + Labels = Custom Classification,” and never add Azure Functions or QnA Maker into the mix.
This AI-102 practice question tests your understanding of implement natural language processing solutions. 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 components are required to create a custom text classification model in Azure AI Language?
A set of labeled documents
Labeled documents are required for training.
A QnA Maker knowledge base
Why wrong: QnA Maker is for question answering.
A project in Azure AI Language
The project contains the model and training data.
A Language Understanding (LUIS) app
Why wrong: LUIS is for intent recognition, not text classification.
An Azure Functions app
Why wrong: Azure Functions is not required for classification.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
A set of labeled documents
A custom text classification project requires a project in Azure AI Language and a set of labeled documents for training. A LUIS app and a QnA maker knowledge base are different services. An Azure Functions app is not required.
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.
A set of labeled documents
Why this is correct
Labeled documents are required for training.
Related concept
Read the scenario before looking for a memorised answer.
A QnA Maker knowledge base
Why it's wrong here
QnA Maker is for question answering.
A project in Azure AI Language
Why this is correct
The project contains the model and training data.
Related concept
Read the scenario before looking for a memorised answer.
A Language Understanding (LUIS) app
Why it's wrong here
LUIS is for intent recognition, not text classification.
An Azure Functions app
Why it's wrong here
Azure Functions is not required for classification.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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 AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: A set of labeled documents — A custom text classification project requires a project in Azure AI Language and a set of labeled documents for training. A LUIS app and a QnA maker knowledge base are different services. An Azure Functions app is not required.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 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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