Implement natural language processing solutions →hardMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Refer to the exhibit.

{
  "kind": "Conversation",
  "analysisInput": {
    "conversationItem": {
      "id": "1",
      "text": "I need to book a flight to Seattle for next Monday.",
      "modality": "text",
      "language": "en"
    }
  },
  "parameters": {
    "projectName": "FlightBooking",
    "deploymentName": "production"
  }
}

You are debugging a CLU application. The JSON above shows a request to the Azure AI Language runtime API. The response returns an intent of "BookFlight" with a confidence of 0.95, but no entities are extracted. The training data includes entities like "Location" and "DateTime". What is the most likely cause?

⚠ Common exam trap

Azure often tests the misconception that a successful API response with a high-confidence intent implies all features (like entity extraction) are working correctly, when in fact the default response may omit entities unless a specific parameter is included.

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

✓

The request is missing the 'verbose' parameter set to true.

The CLU runtime API, by default, returns only the top intent and does not include extracted entities unless the 'verbose' query parameter is set to true. Without this parameter, the response omits the entities array even if the model was trained to extract them, which explains why the intent is returned with high confidence but no entities appear.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
The deployment name is incorrect.
Why it's wrong here
Deployment name is present and likely correct.
✗
The model was not trained on entity extraction.
Why it's wrong here
The training data includes entities.
✗
The utterance does not contain any entities.
Why it's wrong here
The utterance contains 'Seattle' and 'next Monday' which are entities.
✓
The request is missing the 'verbose' parameter set to true.
Why this is correct
Verbose parameter is required to get entity details.

Go deeper

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Why each option matters

Option-by-option breakdown

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