AI-102 Plan and manage an Azure AI solution Practice Question
Exhibit
{
"pipeline": {
"steps": [
{
"step": "1",
"action": "OCR",
"source": "document"
},
{
"step": "2",
"action": "Layout extraction",
"source": "OCR output"
},
{
"step": "3",
"action": "Table extraction",
"source": "Layout output"
}
],
"result": {
"tables": []
}
}
}Refer to the exhibit. You are using Azure AI Document Intelligence with a layout model. The pipeline returns an empty tables array even though the document contains tables. The OCR step extracts text correctly. What is the most likely issue?
⚠ Common exam trap
Watch out — candidates often assume OCR and table extraction are the same step, but Azure AI Document Intelligence separates text recognition from structural layout analysis, so correct OCR does not guarantee correct table detection.
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 layout extraction step is not correctly identifying table structures.
The layout model in Azure AI Document Intelligence performs OCR and then uses a layout extraction step to identify structural elements like tables. If the OCR extracts text correctly but the tables array is empty, it indicates that the layout extraction step failed to detect the table boundaries or cell structure, not that OCR missed the text. Option D correctly identifies this as the most likely issue.
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 OCR step is not recognizing table cells.
Why it's wrong here
OCR extracts text, not table structure; layout extraction is responsible for tables.
- ✗
The table extraction step is misconfigured.
Why it's wrong here
Table extraction depends on layout output; if layout output has no tables, table extraction has nothing to process.
- ✗
The output field mapping for tables is missing.
Why it's wrong here
Would cause missing data in the output, but the pipeline result shows empty tables, not missing field.
- ✓
The layout extraction step is not correctly identifying table structures.
Why this is correct
Layout extraction must detect tables; if it fails, tables are empty.
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