Quick Answer
The correct choice is Azure AI Custom Question Answering, because it is the only service within Azure AI Language specifically designed to ingest PDF documents and other source files to create a knowledge base that returns direct, natural language answers along with citation evidence. This service uses a deep-learning-based extractive model to locate the precise answer span within the source text, then surfaces the supporting document excerpt as a citation. On the AI-102 exam, this scenario tests your understanding of the distinction between search and question answering: Azure Cognitive Search retrieves ranked documents but does not generate a concise answer, while Custom Question Answering is built for conversational Q&A. A common trap is confusing Form Recognizer’s text extraction or Text Analytics’ entity recognition with the answer-generation capability. Remember the memory tip: “Custom QA gives you the answer and the proof; search only gives you the map.”
This AI-102 practice question tests your understanding of implement natural language processing 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 need to build a solution that can answer questions based on a set of PDF documents, such as product manuals. The solution should allow users to ask questions in natural language and receive answers with citations. Which Azure AI service should you use?
Azure AI Text Analytics
Why wrong: Analyzes sentiment, key phrases, etc., not question answering.
Azure Cognitive Search
Why wrong: Returns search results, not direct answers with citations.
Azure AI Custom Question Answering
Builds a knowledge base from documents and provides answers with citations.
Azure AI Document Intelligence (formerly Form Recognizer)
Why wrong: Extracts structured data, does not answer questions.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure AI Custom Question Answering
Option B is correct because Azure AI custom question answering (part of Azure AI Language) allows you to create a knowledge base from PDFs and provides answers with citations. Option A is wrong because Azure Cognitive Search provides search results, not direct answers. Option C is wrong because Form Recognizer extracts text, but does not answer questions. Option D is wrong because the Text Analytics service provides sentiment, key phrases, etc., not question answering.
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
For each option: why learners choose it and why it is or isn't the right answer here.
Azure AI Text Analytics
Why it's wrong here
Analyzes sentiment, key phrases, etc., not question answering.
Azure Cognitive Search
Why it's wrong here
Returns search results, not direct answers with citations.
Azure AI Custom Question Answering
Why this is correct
Builds a knowledge base from documents and provides answers with citations.
Related concept
Static NAT maps one inside address to one outside address.
Azure AI Document Intelligence (formerly Form Recognizer)
Why it's wrong here
Extracts structured data, does not answer questions.
Common exam traps
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.
Trap categories for this question
Keyword trap
Analyzes sentiment, key phrases, etc., not question answering.
Detailed technical explanation
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.
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
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
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 natural language processing solutions — study guide chapter
Learn the concepts, then practise the questions
Implement natural language processing solutions practice questions
Targeted practice on this topic area only
All AI-102 questions
988 questions across all exam domains
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-102 questions linked to Implement an agentic solution.
Practise AI-102 questions linked to Implement computer vision solutions.
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Practise AI-102 questions linked to Implement image and video processing solutions.
Practise AI-102 questions linked to Implement natural language processing solutions.
Practise AI-102 questions linked to Implement generative AI solutions.
Practise AI-102 questions linked to Implement agentic AI solutions.
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Practise AI-102 questions linked to Implement content moderation solutions.
Practise AI-102 questions linked to AI-102 fundamentals.
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Static NAT maps one inside address to one outside address..
The correct answer is: Azure AI Custom Question Answering — Option B is correct because Azure AI custom question answering (part of Azure AI Language) allows you to create a knowledge base from PDFs and provides answers with citations. Option A is wrong because Azure Cognitive Search provides search results, not direct answers. Option C is wrong because Form Recognizer extracts text, but does not answer questions. Option D is wrong because the Text Analytics service provides sentiment, key phrases, etc., not question answering.
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.
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is implementing a question-answering system using Azure AI Language Service. They have a set of FAQ documents in PDF format. Which feature should they use to automatically generate question-answer pairs?
mediumWhy C: The correct answer is A because Custom Question Answering can ingest FAQ documents and generate Q&A pairs. B (Conversational Language Understanding) is for intent recognition. C (Extractive Summarization) summarizes text. D (Key Phrase Extraction) extracts phrases.
Keep practising
Last reviewed: Jun 20, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.