Implement natural language processing solutions →mediumMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Refer to the exhibit.
```json
{
  "analysisInput": {
    "documents": [
      {
        "id": "1",
        "text": "The quick brown fox jumps over the lazy dog.",
        "language": "en"
      }
    ]
  },
  "tasks": [
    {
      "taskName": "EntityRecognition",
      "kind": "EntityRecognition",
      "parameters": {
        "modelVersion": "2022-10-01",
        "stringIndexType": "TextElement_V8"
      }
    },
    {
      "taskName": "KeyPhraseExtraction",
      "kind": "KeyPhraseExtraction",
      "parameters": {
        "modelVersion": "2024-01-01"
      }
    }
  ]
}
```

Refer to the exhibit. You submit this request to the Azure AI Language service. What is the expected response?

⚠ Common exam trap

Many exam-takers assume only one task can be performed per request, or that the response will only include results for the first task listed, when in fact the Azure AI Language service supports multiple tasks in a single request and returns results for all specified tasks.

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

✓

Both entity recognition and key phrase extraction results.

The request includes both the `entities` and `keyPhrases` tasks in the `tasks` array, which instructs the Azure AI Language service to perform both entity recognition and key phrase extraction on the same input document. The service processes each specified task independently and returns a combined response with results for both tasks, not just one.

Answer analysis

Option-by-option breakdown

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

✗
An error because the request format is invalid.
Why it's wrong here
The request format is valid for a batch analysis with multiple tasks.
✗
Only key phrase extraction results.
Why it's wrong here
Both tasks are specified, so both results are returned.
✓
Both entity recognition and key phrase extraction results.
Why this is correct
The request includes both tasks, so both are executed and results returned.
✗
Only entity recognition results.
Why it's wrong here
Both tasks are specified, so both results are returned.

Go deeper

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question