Question 510 of 945
Implement knowledge mining and information extraction solutions →hardMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are using Azure AI Document Intelligence to extract data from scanned contracts. The contracts contain tables and handwritten signatures. Which TWO features should you enable?
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
✓
Train a custom neural model to recognize handwritten signatures.
Options A and B are correct because a custom neural model can be trained to recognize handwritten signatures (A), and enabling table extraction in the custom model extracts tables from contracts (B). Option C is incorrect because OCR is already enabled by default in Document Intelligence and does not need to be separately enabled. Option D is wrong because form recognition for key-value pairs is not required for this scenario, as the focus is on tables and signatures. Option E is wrong because the prebuilt-layout model does not support custom training for signature recognition and may not handle handwritten elements as accurately as a custom model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Train a custom neural model to recognize handwritten signatures.
Why this is correct
Neural models can learn to extract signatures.
- ✓
Enable table extraction in the custom model.
Why this is correct
Table extraction is needed for contract tables.
- ✗
Enable OCR to read scanned text.
Why it's wrong here
OCR is automatically included.
- ✗
Use form recognition to capture key-value pairs.
Why it's wrong here
Form recognition is part of Document Intelligence but not specific.
- ✗
Use the prebuilt-layout model for all extraction.
Why it's wrong here
Prebuilt-layout does not extract custom fields like signatures.
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Last reviewed: Jun 20, 2026
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