Question 432 of 988

Quick Answer

The answer is Azure AI Language custom question answering with the documents as sources. This solution is correct because custom question answering is specifically designed to ingest technical manuals and other documents, then build a knowledge base that maps natural language questions to precise answers from the source text. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of which Azure AI service is purpose-built for FAQ-style Q&A over static documents, versus services that only extract text or require complex grounding. A common trap is choosing Azure AI Search, which retrieves documents but does not generate answers, or Azure OpenAI, which can answer but demands careful prompt engineering and grounding to avoid hallucinations. Remember the memory tip: “Custom Q&A is the Q&A specialist—it reads your docs and answers directly, no search or generation tricks needed.”

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.

Your organization has a knowledge base of technical manuals in PDF format. You need to enable users to ask natural language questions and get answers from the manuals. Which solution should you build?

Question 1mediummultiple choice
Read the full NAT/PAT explanation →

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

Azure AI Language custom question answering with the documents as sources

Option B is correct because custom question answering (from Azure AI Language) is designed for FAQ-like Q&A over documents. Option A is wrong because Azure AI Search alone does not provide Q&A. Option C is wrong because Document Intelligence only extracts text. Option D is wrong because Azure OpenAI can do Q&A but requires careful grounding; custom question answering is more straightforward for this use case.

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.

  • Azure AI Search with integrated vectorization and semantic search

    Why it's wrong here

    Search returns documents, not direct answers.

  • Azure OpenAI Service with GPT-4o and Azure AI Search as a data source

    Why it's wrong here

    ChatGPT-style answer generation; custom QA is simpler.

  • Azure AI Language custom question answering with the documents as sources

    Why this is correct

    Provides direct answers from documents.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Azure AI Document Intelligence to extract text and then use Azure AI Search

    Why it's wrong here

    No Q&A capability.

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.

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FAQ

Questions learners often ask

What does this AI-102 question test?

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: Azure AI Language custom question answering with the documents as sources — Option B is correct because custom question answering (from Azure AI Language) is designed for FAQ-like Q&A over documents. Option A is wrong because Azure AI Search alone does not provide Q&A. Option C is wrong because Document Intelligence only extracts text. Option D is wrong because Azure OpenAI can do Q&A but requires careful grounding; custom question answering is more straightforward for this use case.

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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Last reviewed: Jun 20, 2026

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