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AI-102 Practice Question: Implement natural language processing solutions

Exhibit

{
  "parameters": {
    "projectName": "InvoiceExtractor",
    "deploymentName": "production",
    "api-version": "2023-04-01",
    "body": {
      "analysisInput": {
        "documents": [
          {"id": "1", "language": "en", "text": "Invoice #1234 dated 01/15/2023 for $500.00 from Acme Corp."}
        ]
      },
      "parameters": {
        "modelVersion": "latest"
      }
    }
  }
}

Refer to the exhibit. You send this request to the Azure AI Language Service for custom entity recognition. The response returns no entities. What is the most likely reason?

⚠ Common exam trap

It's easy for candidates to assume the request is valid because it includes text and a language parameter, overlooking that custom entity recognition requires explicit project and deployment identifiers to invoke the trained model.

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 projectName and deploymentName are missing from the body parameters

The Azure AI Language Service for custom entity recognition requires both `projectName` and `deploymentName` in the request body to identify which trained custom model to invoke. Without these parameters, the service cannot route the request to the correct custom model, so it returns no entities. The standard pre-built entity recognition does not require these fields, but custom entity recognition mandates them.

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 text input is too short for entity recognition
Why it's wrong here
The input length is sufficient.
✗
The language parameter is set incorrectly
Why it's wrong here
The language 'en' is valid.
✗
The model version is not specified
Why it's wrong here
It is set to 'latest'.
✓
The projectName and deploymentName are missing from the body parameters
Why this is correct
Custom entity recognition requires project and deployment names in the body.

Go deeper

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question