Quick Answer
The answer is the OCR skill, which is the correct built-in skill to include in your Azure AI Search skillset for extracting text from images and performing optical character recognition on embedded images within PDFs. This skill works by detecting and reading printed or handwritten text from image files, such as JPEG or PNG, and from images embedded in documents like PDFs, converting them into machine-readable text that can be indexed and searched. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of which skill to apply for image-based text extraction in a knowledge mining pipeline, often appearing as a distractor against skills like Text Translation, Key Phrase Extraction, or Entity Recognition. A common trap is confusing OCR with translation or entity extraction, but remember that OCR specifically handles visual text recognition, not language processing. Memory tip: think “OCR = Optical Character Recognition = Eyes for your search index.”
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
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?
OCR skill
Extracts text from images and embedded images in PDFs.
Translation skill
Why wrong: Translates text, does not extract from images.
Key phrase extraction skill
Why wrong: Extracts key phrases from text, not from images.
Entity recognition skill
Why wrong: Identifies entities in text, not from images.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
OCR skill
Option B is correct because the OCR skill extracts text from images. Option A is for text translation. Option C is for key phrases. Option D is for entity recognition.
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.
OCR skill
Why this is correct
Extracts text from images and embedded images in PDFs.
Related concept
Read the scenario before looking for a memorised answer.
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.
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.
Trap categories for this question
Keyword trap
Extracts key phrases from text, not from images.
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.
Implement knowledge mining and information extraction solutions — study guide chapter
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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: OCR skill — Option B is correct because the OCR skill extracts text from images. Option A is for text translation. Option C is for key phrases. Option D is for entity recognition.
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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