Quick Answer
The three required components are a data source, an index, and a skillset. A data source defines where to pull the PDF files from, the index stores the enriched content for querying, and the skillset defines the enrichment pipeline that extracts and transforms text, images, and entities from the PDFs. An indexer is also necessary to connect the data source to the index and trigger the skillset, but it is not listed as one of the three core components in this specific context—it is the orchestrator, not a storage or enrichment element. On the AI-102 exam, this question tests your understanding of the foundational building blocks of a knowledge mining solution, often appearing as a “select three” item where the trap is confusing the indexer (which is required but not one of the three named components) with the data source, index, or skillset. Remember the mnemonic “D.I.S.”—Data source, Index, Skillset—and that the indexer is the glue that runs the pipeline, not a core component itself.
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Which THREE components are required to build a knowledge mining solution using Azure AI Search that extracts and enriches content from PDF files?
Index
Stores the enriched data.
Skillset
Defines AI enrichment steps.
Semantic configuration
Why wrong: Optional for ranking.
Data source
Points to the PDF files.
Indexer
Orchestrates the pipeline.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Index
Option A is correct because a data source defines where to pull data. Option C is correct because an index stores the enriched content. Option E is correct because a skillset defines the enrichment pipeline. Option B is wrong because an indexer is required, but a datasource and index are separate components; an indexer connects them. Option D is wrong because a semantic configuration is optional.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Index
Why this is correct
Stores the enriched data.
Related concept
Read the scenario before looking for a memorised answer.
Skillset
Why this is correct
Defines AI enrichment steps.
Related concept
Read the scenario before looking for a memorised answer.
Semantic configuration
Why it's wrong here
Optional for ranking.
Data source
Why this is correct
Points to the PDF files.
Related concept
Read the scenario before looking for a memorised answer.
Indexer
Why this is correct
Orchestrates the pipeline.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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. 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
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
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..
The correct answer is: Index — Option A is correct because a data source defines where to pull data. Option C is correct because an index stores the enriched content. Option E is correct because a skillset defines the enrichment pipeline. Option B is wrong because an indexer is required, but a datasource and index are separate components; an indexer connects them. Option D is wrong because a semantic configuration is optional.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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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.
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