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.
Which TWO Azure AI services can be used to extract text from images as part of a knowledge mining pipeline?
Azure AI Language
Why wrong: Does not extract text from images.
Azure AI Document Intelligence
Includes OCR and layout extraction.
Azure AI Computer Vision
Read API extracts text from images.
Azure AI Video Indexer
Why wrong: For video insights.
Azure AI Custom Vision
Why wrong: For image classification, not OCR.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure AI Document Intelligence
Azure AI Document Intelligence (formerly Form Recognizer) is correct because it is specifically designed to extract text, tables, and key-value pairs from scanned documents and images using optical character recognition (OCR) and deep learning models. It is a core service for knowledge mining pipelines that require structured data extraction from unstructured documents.
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.
Azure AI Language
Why it's wrong here
Does not extract text from images.
Azure AI Document Intelligence
Why this is correct
Includes OCR and layout extraction.
Related concept
Read the scenario before looking for a memorised answer.
Azure AI Computer Vision
Why this is correct
Read API extracts text from images.
Related concept
Read the scenario before looking for a memorised answer.
Azure AI Video Indexer
Why it's wrong here
For video insights.
Azure AI Custom Vision
Why it's wrong here
For image classification, not OCR.
Common exam traps
The trap here is that candidates often confuse Azure AI Computer Vision's OCR capabilities with Azure AI Document Intelligence, but Document Intelligence is the dedicated service for structured document extraction in knowledge mining, while Computer Vision provides general-purpose image analysis and OCR without the same level of document-specific parsing.
Detailed technical explanation
Azure AI Document Intelligence uses the Read OCR engine (based on the latest OCR technology) to extract printed and handwritten text, and it supports both prebuilt models (e.g., for invoices, receipts) and custom models for specialized document layouts. In a knowledge mining pipeline, it can be combined with Azure Cognitive Search to index extracted text, enabling full-text search and analytics. The service also handles complex structures like tables and selection marks, which are common in forms and reports.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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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: Azure AI Document Intelligence — Azure AI Document Intelligence (formerly Form Recognizer) is correct because it is specifically designed to extract text, tables, and key-value pairs from scanned documents and images using optical character recognition (OCR) and deep learning models. It is a core service for knowledge mining pipelines that require structured data extraction from unstructured documents.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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