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AI-102 Practice Question: Implement knowledge mining and information extraction solutions

Exhibit

Refer to the exhibit.

{
  "name": "my-skillset",
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.EntityRecognitionSkill",
      "categories": [ "Organization", "Person", "Location" ],
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "entities", "targetName": "entities" } ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.KeyPhraseExtractionSkill",
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "keyPhrases", "targetName": "keyPhrases" } ]
    }
  ]
}

You have an Azure AI Search skillset defined as shown in the exhibit. When you run the indexer, the enrichment pipeline produces outputs but no entities are extracted. The source documents are in English and contain clear organization and person names. What is the most likely cause?

⚠ Common exam trap

Many exam-takers assume entity extraction fails due to language mismatch or skill ordering, but Azure AI Search's Entity Recognition skill is strict about input types, and an array input will cause silent failure without any error in the pipeline output.

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 '/document/content' field is an array, but the skill expects a string.

The most likely cause is that the '/document/content' field is an array, but the Entity Recognition skill expects a string input. In Azure AI Search, if the source field is an array, the skill cannot process it directly, resulting in no entities being extracted even though the documents contain clear organization and person names.

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 skill output is not mapped to the index.
Why it's wrong here
Output mapping is not required for skill execution.
✗
The skills are in the wrong order.
Why it's wrong here
Order does not affect entity extraction.
✗
The documents are not in English.
Why it's wrong here
The source is English.
✓
The '/document/content' field is an array, but the skill expects a string.
Why this is correct
EntityRecognitionSkill expects a string input.

Go deeper

AI-102 Practice Question: Implement knowledge mining and information extraction solutions

Exhibit

Why each option matters

Option-by-option breakdown

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