AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your company is building a knowledge base for customer support using Azure AI Search. You have a large dataset of customer emails stored in Azure Blob Storage. The solution must extract key phrases, detect sentiment, and identify customer intents (e.g., complaint, inquiry, feedback). You plan to use built-in AI skills for key phrase extraction and sentiment detection. For intent identification, you need a custom solution because the intents are specific to your business. You have trained a custom Language Understanding (LUIS) model and published it. How should you integrate the LUIS model into the Azure AI Search enrichment pipeline to extract intents?
⚠ Common exam trap
AI-102 often tests whether candidates know that built-in skills cover only generic NLP tasks — anything business-specific (custom intents, custom classification) requires a custom skill that wraps an external model endpoint.
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
✓
Create a custom skill in the skillset that calls the LUIS endpoint and returns the top intent.
Azure AI Search enrichment pipelines support built-in skills (key phrase extraction, sentiment, entity recognition, OCR, etc.) and custom skills. A custom skill is a Web API endpoint that the skillset calls during enrichment, receiving a JSON payload and returning enriched fields. To integrate a published LUIS model, you create a custom skill (typically an Azure Function) that calls the LUIS prediction endpoint with the document text and returns the top intent and score, which the indexer then maps into the search index.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add a Document Intelligence skill to classify intents.
Why it's wrong here
Document Intelligence extracts text, tables and key-value pairs from documents; it performs no intent classification, so it cannot consume your published LUIS model. It is tempting because it is a built-in AI skill in the same enrichment pipeline, and it would be the right choice for parsing scanned emails or invoices into structured fields.
- ✗
Configure the index to use a custom analyzer to parse intents.
Why it's wrong here
A custom analyzer governs how text is tokenised and normalised at index and query time; it cannot call a LUIS model or emit intent labels. A custom skill that posts to the LUIS endpoint is required to enrich documents with intents.
- ✗
Use the built-in Entity Recognition skill to extract intents.
Why it's wrong here
Entity Recognition extracts named entities such as people, places and organisations; it does not invoke a published LUIS model or return business-specific intents. A custom skill calling the LUIS endpoint is required to surface complaint, inquiry and feedback classifications.
- ✓
Create a custom skill in the skillset that calls the LUIS endpoint and returns the top intent.
Why this is correct
A custom skill in the skillset invokes the published LUIS endpoint, passing enriched text and mapping the returned top intent into the index. This satisfies the requirement for business-specific intent extraction that built-in skills cannot provide.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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.