The correct choice is to set the `imageAction` parameter to `generateNormalizedImages` because this configuration instructs the Azure AI Search OCR skill to extract and normalize all embedded images from documents like PDFs before performing text extraction. Without this parameter, the OCR skill only processes text layers and ignores images embedded within the document, which would cause the knowledge mining solution to miss critical content. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of how the OCR skill interacts with document parsing, and a common trap is confusing `generateNormalizedImages` with `generateNormalizedImagePerPage`—the former handles all embedded images, while the latter only normalizes the first image per page. Remember the mnemonic: "Embedded images need normalization, not just the first page."
AI-102 Practice Question: Implement knowledge mining and document intelligence solutions
This AI-102 practice question tests your understanding of implement knowledge mining and document intelligence solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
A company builds a knowledge mining solution using Azure AI Search with a custom skillset that includes an OCR skill. They want to ensure that images embedded in PDFs are processed. What should they configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Set the 'imageAction' parameter to 'generateNormalizedImages'
Option C is correct because the 'imageAction' parameter in Azure AI Search's OCR skill controls whether images embedded in documents (including PDFs) are extracted and processed. Setting it to 'generateNormalizedImages' ensures that images within PDFs are normalized and passed to the OCR skill for text extraction, which is essential for processing embedded images.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Set the 'defaultLanguageCode' to 'en'
Why it's wrong here
This parameter sets the language, not image extraction.
✗
Set the 'textExtractionAlgorithm' to 'printed'
Why it's wrong here
This parameter controls text detection, not image extraction.
✓
Set the 'imageAction' parameter to 'generateNormalizedImages'
Why this is correct
This parameter enables extraction of images from documents.
Related concept
Read the scenario before looking for a memorised answer.
✗
Set the 'lineEnding' parameter to 'space'
Why it's wrong here
This parameter controls line endings, not image extraction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse parameters that affect OCR output formatting (like 'lineEnding' or 'defaultLanguageCode') with the parameter that actually enables image extraction from PDFs, leading them to overlook the 'imageAction' setting.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Search's OCR skill uses the 'imageAction' parameter to decide how to handle images within documents. When set to 'generateNormalizedImages', the skill extracts images from PDFs, normalizes them (e.g., rotates, adjusts contrast), and then applies OCR to extract text. This is critical for PDFs that contain scanned images or embedded pictures, as the default behavior may skip such content, leading to incomplete knowledge mining results.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implement knowledge mining and document intelligence solutions — This question tests Implement knowledge mining and document intelligence solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the 'imageAction' parameter to 'generateNormalizedImages' — Option C is correct because the 'imageAction' parameter in Azure AI Search's OCR skill controls whether images embedded in documents (including PDFs) are extracted and processed. Setting it to 'generateNormalizedImages' ensures that images within PDFs are normalized and passed to the OCR skill for text extraction, which is essential for processing embedded images.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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