The correct answer is to enable the neural model for handwriting and the table extraction feature within your custom model. This is because Azure AI Document Intelligence’s custom neural model is specifically designed to handle complex structures like handwritten signatures, while the table extraction capability must be explicitly enabled to parse tabular data from scanned contracts. On the AI-102 exam, this question tests your understanding of how to configure custom models for specialized document types, often tripping candidates who mistakenly select the prebuilt-layout model—which cannot be custom-trained—or assume OCR is a separate toggle. A common trap is thinking form recognition alone suffices, but contracts require both handwriting support and explicit table parsing. Remember the mnemonic “Hand and Table” to recall that the neural model handles handwriting, and you must toggle table extraction on.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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 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 C are correct. The neural model handles handwriting (A), and the table extraction capability (C) extracts tables. Option B is wrong because the prebuilt-layout model is not custom-trained. Option D is wrong because form recognition is part of Document Intelligence but not specific to contracts. Option E is wrong because OCR is built-in and not a separate feature to enable.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Related concept
Static NAT maps one inside address to one outside address.
✓
Enable table extraction in the custom model.
Why this is correct
Table extraction is needed for contract tables.
Related concept
Static NAT maps one inside address to one outside address.
✗
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.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Train a custom neural model to recognize handwritten signatures. — Options A and C are correct. The neural model handles handwriting (A), and the table extraction capability (C) extracts tables. Option B is wrong because the prebuilt-layout model is not custom-trained. Option D is wrong because form recognition is part of Document Intelligence but not specific to contracts. Option E is wrong because OCR is built-in and not a separate feature to enable.
What should I do if I get this AI-102 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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