AI-102 Practice Question: Implement natural language processing solutions
You are developing a conversational language understanding (CLU) project in Azure AI Language. The project must recognize user intents and extract entities from utterances. You have trained and deployed the model. You need to call the prediction API from a client application. The deployment name is 'prod' and the project name is 'HRBot'. Which URL should you use to send an utterance for prediction?
⚠ Common exam trap
A common mix-up: candidates confuse the analyze-text operation used for text analytics with the analyze-conversations operation required for conversational language understanding predictions.
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
✓
https://<resource-name>.cognitiveservices.azure.com/language/analyze-conversations/projects/HRBot/deployments/prod/:analyze-conversations?api-version=2023-04-01
The CLU prediction endpoint requires the project name and deployment name as path segments under the analyze-conversations operation, along with a supported API version. The correct URL includes /language/analyze-conversations/projects/{project}/deployments/{deployment}/:analyze-conversations?api-version=2023-04-01. Query-string routing, the wrong operation name, or an outdated API version will not work for CLU predictions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
https://<resource-name>.cognitiveservices.azure.com/language/analyze-conversations/projects/HRBot/deployments/prod/:analyze-conversations?api-version=2023-04-01
Why this is correct
This URL follows the correct REST path for the CLU prediction API: it includes the project name, deployment name, and the analyze-conversations operation with a valid API version. The request body should contain the utterance and optionally the language. This is the endpoint used to get intent and entity predictions from a deployed conversational language understanding model.
- ✗
https://<resource-name>.cognitiveservices.azure.com/language/:analyze-conversations?projectName=HRBot&deploymentName=prod&api-version=2023-04-01
Why it's wrong here
This URL uses a flat query-string style that does not match the CLU prediction API's routing. The service expects project and deployment as path segments, not query parameters, for the analyze-conversations operation. Using this form will result in a 404 or similar error because the route is not recognized by the service.
- ✗
https://<resource-name>.cognitiveservices.azure.com/language/analyze-text/projects/HRBot/deployments/prod?api-version=2023-04-01
Why it's wrong here
This path uses 'analyze-text', which is the operation for text analytics features such as sentiment analysis and key phrase extraction, not conversational language understanding. The CLU prediction operation is 'analyze-conversations'. Calling analyze-text with project and deployment segments will not invoke the CLU model and will likely return an error.
- ✗
https://<resource-name>.cognitiveservices.azure.com/language/analyze-conversations/projects/HRBot/deployments/prod?api-version=2022-05-01
Why it's wrong here
The path is close, but the API version 2022-05-01 predates the general availability of the conversational language understanding prediction API. The analyze-conversations endpoint with project and deployment path segments requires a newer API version such as 2023-04-01 or later. Using an outdated version will result in an error or unsupported operation.
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Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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