Question 20 of 945
AI-102 Implement generative AI solutions Practice Question
You need to provide a generative AI solution that can answer questions based on a large set of PDF documents stored in Azure Blob Storage. The solution must support natural language queries and return citations from the documents. Which Azure service combination should you use?
⚠ Common exam trap
Candidates often confuse Azure AI Document Intelligence (which extracts text) with the full search-and-generate pipeline, overlooking that a search index (Cognitive Search) and a generative model (Azure OpenAI) are both required to answer natural language queries with citations.
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 Cognitive Search and Azure OpenAI Service with 'on your data'
Azure Cognitive Search provides the indexing and retrieval capabilities for the PDF content, while Azure OpenAI Service with the 'on your data' feature enables natural language querying and generates answers grounded in the indexed documents, including citations. This combination directly supports the requirement to query a large set of PDFs in Azure Blob Storage and return citations.
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 Machine Learning and Azure Kubernetes Service
Why it's wrong here
These are for custom model training and deployment, not out-of-box Q&A.
- ✓
Azure Cognitive Search and Azure OpenAI Service with 'on your data'
Why this is correct
Cognitive Search indexes PDFs; Azure OpenAI uses the index for grounded Q&A with citations.
- ✗
Azure AI Bot Service and Azure Functions
Why it's wrong here
Bot Service provides the conversational interface but lacks indexing.
- ✗
Azure AI Document Intelligence and Azure AI Translator
Why it's wrong here
Document Intelligence extracts data, not Q&A; Translator translates text.
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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Last reviewed: Jul 4, 2026
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