AI-102 Practice Question: Implement knowledge mining and document intelligence solutions
Exhibit
Refer to the exhibit.
```json
{
"skills": [
{
"@odata.type": "#Microsoft.Skills.Text.SplitSkill",
"name": "#1",
"context": "/document",
"defaultLanguageCode": "en",
"textSplitMode": "pages",
"maximumPageLength": 5000,
"inputs": [
{
"name": "text",
"source": "/document/content"
}
],
"outputs": [
{
"name": "textItems",
"targetName": "pages"
}
]
}
]
}```A company uses this skillset in an Azure AI Search enrichment pipeline. They notice that the enrichment pipeline fails when processing a document larger than 5000 characters. What is the most likely cause?
⚠ Common exam trap
The trap here is that candidates often attribute pipeline failures to text splitting or language settings, but the real issue is the missing output field mapping, which is a common misconfiguration in skillset definitions.
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 is missing or incorrect
The enrichment pipeline fails because the output field mapping is missing or incorrect. When a skillset processes documents, the output of each skill must be explicitly mapped to an index field; if this mapping is absent or misconfigured, the pipeline cannot store the enriched data and fails, especially for larger documents that produce more output data.
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 maximum page length is too small
Why it's wrong here
The skill splits documents into pages; it does not fail due to size.
- ✗
The default language code is not supported
Why it's wrong here
'en' is a supported language code.
- ✗
The text split mode should be 'sentences'
Why it's wrong here
'pages' is a valid split mode.
- ✓
The output field mapping is missing or incorrect
Why this is correct
The output 'pages' must be mapped to a collection field in the index.
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