- A
Azure AI Search with integrated vectorization and semantic search
Why wrong: Search returns documents, not direct answers.
- B
Azure OpenAI Service with GPT-4o and Azure AI Search as a data source
Why wrong: ChatGPT-style answer generation; custom QA is simpler.
- C
Azure AI Language custom question answering with the documents as sources
Provides direct answers from documents.
- D
Azure AI Document Intelligence to extract text and then use Azure AI Search
Why wrong: No Q&A capability.
Question 434 of 993
Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
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?
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 C is correct because Azure AI Language custom question answering is specifically designed to ingest documents (like PDFs) and provide a natural language Q&A interface over them. It uses a built-in extractive reader to find answer spans directly from the source text, making it the most straightforward solution for answering questions from a static knowledge base of technical manuals without requiring additional search or vectorization infrastructure.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Read the scenario before looking for a memorised answer.
- ✗
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: answer the scenario, not the keyword
The trap here is that candidates often confuse retrieval (search) with extraction (question answering), assuming that any solution involving Azure AI Search or GPT-4o is automatically the best for Q&A, when in fact custom question answering is the purpose-built service for direct answer extraction from documents.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Language custom question answering uses a transformer-based extractive model (similar to BERT) that identifies the exact answer span within a document by predicting start and end token positions. It also supports active learning, where it can suggest alternate phrasings and improve over time based on user feedback. In a real-world scenario, if a manual contains a table with specifications, the service can extract a cell value as the answer, whereas a pure search engine would return the entire table or page.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure AI Language custom question answering with the documents as sources — Option C is correct because Azure AI Language custom question answering is specifically designed to ingest documents (like PDFs) and provide a natural language Q&A interface over them. It uses a built-in extractive reader to find answer spans directly from the source text, making it the most straightforward solution for answering questions from a static knowledge base of technical manuals without requiring additional search or vectorization infrastructure.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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 →
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Last reviewed: Jul 4, 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.
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