Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are designing a knowledge mining solution that ingests documents from SharePoint Online and makes them searchable using Azure AI Search. The solution must extract text from images and perform optical character recognition (OCR) on embedded images within PDFs. Which built-in skill should you include in the skillset?
⚠ Common exam trap
Candidates often confuse the OCR skill with other text-processing skills like key phrase extraction or entity recognition, mistakenly thinking those can also extract text from images, but only the OCR skill is designed for image-to-text conversion.
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
The OCR skill (Optical Character Recognition) is the correct built-in skill for extracting text from images and performing OCR on embedded images within PDFs in Azure AI Search. It specifically handles image files (e.g., JPEG, PNG) and embedded images in PDFs, outputting text that can be indexed and searched. Other skills like translation, key phrase extraction, or entity recognition do not perform text extraction from images.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
OCR skill
Why this is correct
Extracts text from images and embedded images in PDFs.
- ✗
Translation skill
Why it's wrong here
Translates text, does not extract from images.
- ✗
Key phrase extraction skill
Why it's wrong here
Extracts key phrases from text, not from images.
- ✗
Entity recognition skill
Why it's wrong here
Identifies entities in text, not from images.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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