Implement natural language processing solutions →hardMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

Exhibit

{
  "kind": "EntityLinking",
  "parameters": {
    "modelVersion": "latest"
  },
  "analysisInput": {
    "documents": [
      {
        "id": "1",
        "language": "en",
        "text": "Microsoft Azure provides AI services."
      }
    ]
  }
}

Refer to the exhibit. You are calling the Azure AI Language API for entity linking. What is the primary purpose of this request?

⚠ Common exam trap

Many candidates confuse Named Entity Recognition (NER) with Entity Linking, assuming both simply 'find entities,' but the key differentiator is that entity linking explicitly resolves entities to a knowledge base with a unique identifier and URL, which is the core purpose of this request.

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

✓

To identify entities in the text and link them to a knowledge base.

The request is configured for entity linking, which is a specific capability of the Azure AI Language API that identifies named entities in the text and resolves them to a unique identifier in a knowledge base (such as Wikipedia or a custom knowledge graph). This goes beyond simple named entity recognition (NER) by providing a canonical link, enabling disambiguation of entities with the same name (e.g., 'Washington' as a state vs. a person). The response includes both the entity name and a URL to the knowledge base entry, confirming the primary purpose is linking to a knowledge base.

Answer analysis

Option-by-option breakdown

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

✓
To identify entities in the text and link them to a knowledge base.
Why this is correct
Entity linking maps entities to known entities in a knowledge base.
✗
To extract named entities from the text without linking.
Why it's wrong here
That is NER, not entity linking.
✗
To extract key phrases from the text.
Why it's wrong here
Key phrase extraction is a different API.
✗
To analyze the sentiment of the text.
Why it's wrong here
Sentiment analysis is a different API.

Visual reference

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AI-102 Practice Question: Implement natural language processing solutions

Exhibit

Why each option matters

Option-by-option breakdown

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