Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped

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

Exhibit

{
  "skillset": {
    "cognitiveServices": "/subscriptions/.../providers/Microsoft.CognitiveServices/accounts/my-cog-svc",
    "skills": [
      {
        "@odata.type": "#Microsoft.Skills.Text.V3.EntityRecognitionSkill",
        "categories": ["Person", "Organization", "Location"]
      },
      {
        "@odata.type": "#Microsoft.Skills.Text.V3.KeyPhraseExtractionSkill"
      }
    ]
  }
}

Refer to the exhibit. You are configuring an Azure AI Search skillset. The skillset includes an EntityRecognitionSkill and a KeyPhraseExtractionSkill. After running the indexer, you notice that the 'organizations' field is empty in the index. What is the most likely cause?

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 output field mapping for organizations is missing

The EntityRecognitionSkill outputs entities into a structured format (e.g., '/document/entities'). To populate the 'organizations' field in the index, you need to add a field mapping in the indexer that maps the skill output path (e.g., '/document/entities/organizations') to the index field. Without this mapping, the 'organizations' field remains empty. Option A is incorrect because the skill output path is typically correct; the issue is the missing field mapping. Option C is incorrect because the 'Organization' category is correctly spelled in the skill configuration. Option D is incorrect because the order of skills does not affect the output; entity recognition and key phrase extraction are independent.

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 path is incorrect
Why it's wrong here
The default output path is correct.
✓
The output field mapping for organizations is missing
Why this is correct
Without mapping the skill output to the index field, the data will not appear.
✗
The 'Organization' category is misspelled
Why it's wrong here
The category is spelled correctly as 'Organization'.
✗
The skills must be in reverse order
Why it's wrong here
Order does not affect entity extraction.

Go deeper

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

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question