AI-102 Practice Question: Implement knowledge mining and document intelligence solutions
You are developing an Azure AI Search solution that indexes scanned PDF invoices. The indexer must extract text from the PDFs and also recognize entities such as organization names and dates. You want to use built-in cognitive skills to minimize custom code. Which combination of skills should you include in the skillset?
⚠ Common exam trap
The trap here is assuming that Image Analysis performs OCR, when in Azure AI Search the dedicated OCR skill is needed for text extraction from images.
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
✓
OCR skill and Entity Recognition skill
The OCR skill extracts text from scanned PDFs, and the Entity Recognition skill identifies organizations and dates from the extracted text. Using these built-in skills avoids custom code and satisfies both requirements efficiently. Other combinations either lack OCR or entity recognition, or provide unrelated functionality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Key Phrase Extraction skill and Language Detection skill
Why it's wrong here
Key Phrase Extraction identifies main points but does not extract text from scanned images, and Language Detection only determines the language. Neither skill performs OCR or entity recognition, so they fail to meet the requirement of extracting text and recognizing organizations and dates from scanned invoices.
- ✓
OCR skill and Entity Recognition skill
Why this is correct
The OCR skill extracts text from image-based PDF content, and the Entity Recognition skill identifies entities like organizations and dates from that text. This combination directly addresses the requirement to extract text and recognize entities without writing custom code, leveraging built-in cognitive skills in Azure AI Search.
- ✗
Text Merge skill and Text Split skill
Why it's wrong here
Text Merge and Text Split are utility skills for consolidating or dividing text, not for extracting text from images or recognizing entities. They operate on already-extracted text and cannot process scanned PDFs or identify organizations and dates, so they are insufficient for this scenario.
- ✗
Image Analysis skill and Sentiment skill
Why it's wrong here
Image Analysis can generate tags and captions but does not perform OCR for text extraction in the context of Azure AI Search skillsets. Sentiment analyzes emotional tone, not entities. Together they do not provide the required text extraction and entity recognition for scanned invoices.
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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
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