Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your knowledge mining pipeline uses Azure AI Search to index PDF files. You need to extract text from the PDFs and also recognize embedded tables. Which built-in skill should you use?
⚠ Common exam trap
The pitfall is that candidates may assume the Document Extraction skill can extract embedded tables from PDFs as structured data. In reality, it only extracts raw text from text-based PDFs. For table recognition, you would need additional steps, such as using the OCR skill for scanned tables or integrating Azure Document Intelligence.
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
✓
Document Extraction skill
The Document Extraction skill is designed to extract text from binary files such as PDFs. However, it does not natively extract embedded tables as structured data. For table recognition, you would typically need additional processing, such as using the OCR skill for image-based tables or integrating Azure Document Intelligence. Therefore, among the provided options, Document Extraction is the most relevant for text extraction but does not fully address table recognition without supplementary steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Document Extraction skill
Why this is correct
This skill extracts text from files like PDFs; for tables, you need additional processing like Document Intelligence.
- ✗
OCR skill
Why it's wrong here
OCR is for images, not text extraction from text-based PDFs.
- ✗
Custom Web API skill
Why it's wrong here
A custom skill could be used but there is a built-in skill for text extraction.
- ✗
Entity Recognition skill
Why it's wrong here
Entity Recognition identifies entities, not text extraction.
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