AI-102 Practice Question: Implement natural language processing solutions
Which TWO components are required to create a custom text classification model in Azure AI Language?
⚠ Common exam trap
Test-takers frequently confuse the required components for custom text classification with those for other Azure AI Language features (like custom question answering or conversational language understanding), leading them to select QnA Maker or LUIS as plausible options when they are not applicable.
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
✓
A set of labeled documents
A set of labeled documents is required because custom text classification in Azure AI Language uses supervised learning, where each document must be tagged with the correct class to train the model. Without labeled data, the model cannot learn the patterns that distinguish one category from another.
Answer analysis
Option-by-option breakdown
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.
- ✗
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.
- ✗
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.
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