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

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

Exhibit

Refer to the exhibit.
```json
{
  "indexers": [
    {
      "name": "my-indexer",
      "dataSourceName": "my-datasource",
      "targetIndexName": "my-index",
      "skillsetName": "my-skillset",
      "schedule": {
        "interval": "PT1H"
      },
      "parameters": {
        "batchSize": 100,
        "maxFailedItems": 10,
        "maxFailedItemsPerBatch": 5,
        "configuration": {
          "dataToExtract": "contentAndMetadata",
          "imageAction": "generateNormalizedImages"
        }
      },
      "fieldMappings": [
        {
          "sourceFieldName": "metadata_storage_path",
          "targetFieldName": "path"
        }
      ],
      "outputFieldMappings": [
        {
          "sourceFieldName": "/document/content",
          "targetFieldName": "content"
        }
      ]
    }
  ]
}
```

You have the above Azure AI Search indexer definition. The indexer runs successfully but the 'content' field in the index is empty for all documents. What is the 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 outputFieldMapping references '/document/content' which is not produced by the skillset.

The indexer runs successfully but the 'content' field is empty because the outputFieldMapping maps a path '/document/content' that does not exist in the enrichment tree produced by the skillset. The skillset must output a node at that path; if it doesn't, the mapping cannot populate the field. Option A correctly identifies this as the likely cause.

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 outputFieldMapping references '/document/content' which is not produced by the skillset.
Why this is correct
Skillset must output that path.
✗
The indexer schedule is too frequent.
Why it's wrong here
Not related to empty content.
✗
The fieldMapping for 'metadata_storage_path' is incorrect.
Why it's wrong here
That mapping is for path field, not content.
✗
The batchSize is too large, causing some items to fail silently.
Why it's wrong here
Failed items would be tracked.

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