- A
Azure AI Document Intelligence, Azure AI Translator, and Azure AI Search
Why wrong: Translator not needed; missing entity recognition.
- B
Azure AI Document Intelligence, Azure AI Video Indexer, and Azure AI Search
Why wrong: Video Indexer not applicable.
- C
Azure AI Document Intelligence, Azure AI Language, custom skill for redaction, and Azure AI Search
Document Intelligence extracts text, Language recognizes entities, custom skill redacts, Search indexes.
- D
Azure AI Document Intelligence, Azure AI Content Safety, and Azure AI Search
Why wrong: Content Safety is for moderation, not entity recognition or redaction.
Question 553 of 993
Implement knowledge mining and information extraction solutions →hardMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
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 implementing a knowledge mining solution for a legal firm. The solution must ingest large volumes of legal documents (PDFs and Word files) stored in Azure Blob Storage. You need to extract text, recognize named entities (e.g., parties, judges, case numbers), and index the content for full-text search. The solution should also support redaction of sensitive information before indexing. Which combination of Azure AI services should you use?
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
✓
Azure AI Document Intelligence, Azure AI Language, custom skill for redaction, and Azure AI Search
Option C is correct because it combines Azure AI Document Intelligence for OCR and text extraction from PDFs and Word files, Azure AI Language for named entity recognition (e.g., parties, judges, case numbers), a custom skill for redaction (to remove sensitive information before indexing), and Azure AI Search to index the cleaned content for full-text search. This stack directly addresses all requirements: ingestion, entity extraction, redaction, and search indexing.
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.
- ✗
Azure AI Document Intelligence, Azure AI Translator, and Azure AI Search
Why it's wrong here
Translator not needed; missing entity recognition.
- ✗
Azure AI Document Intelligence, Azure AI Video Indexer, and Azure AI Search
Why it's wrong here
Video Indexer not applicable.
- ✓
Azure AI Document Intelligence, Azure AI Language, custom skill for redaction, and Azure AI Search
Why this is correct
Document Intelligence extracts text, Language recognizes entities, custom skill redacts, Search indexes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Document Intelligence, Azure AI Content Safety, and Azure AI Search
Why it's wrong here
Content Safety is for moderation, not entity recognition or redaction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure AI Content Safety (for moderation) with redaction capabilities, or assume Azure AI Translator can handle entity recognition, when in fact redaction requires a custom skill and entity recognition requires Azure AI Language.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Document Intelligence uses prebuilt read and layout models to extract text and structure from PDFs and Word files, outputting bounding box coordinates and content. Azure AI Language's prebuilt NER model can identify legal-specific entities like persons and organizations, but for custom entities (e.g., case numbers), you would use a custom entity extraction model. The redaction custom skill, implemented as an Azure Function or HTTP-triggered skill, can use regex or AI to mask sensitive text before it reaches the search index, ensuring compliance with data privacy regulations.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
What to study next
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FAQ
Questions learners often ask
What does this AI-102 question test?
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..
What is the correct answer to this question?
The correct answer is: Azure AI Document Intelligence, Azure AI Language, custom skill for redaction, and Azure AI Search — Option C is correct because it combines Azure AI Document Intelligence for OCR and text extraction from PDFs and Word files, Azure AI Language for named entity recognition (e.g., parties, judges, case numbers), a custom skill for redaction (to remove sensitive information before indexing), and Azure AI Search to index the cleaned content for full-text search. This stack directly addresses all requirements: ingestion, entity extraction, redaction, and search indexing.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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