The correct combination is Azure AI Document Intelligence, Azure AI Language, a custom skill for redaction, and Azure AI Search. This works because Document Intelligence handles OCR and text extraction from PDFs and Word files in Blob Storage, while Azure AI Language provides pre-built named entity recognition to identify parties, judges, and case numbers. The custom skill bridges the gap by applying redaction logic—removing or masking sensitive data before it reaches the index—and Azure AI Search then enables full-text search over the cleaned content. On the AI-102 exam, this scenario tests your ability to orchestrate multiple cognitive services in a pipeline, with the common trap being to confuse Azure AI Content Safety (which flags harmful content but does not redact) or to add unnecessary services like Translator. A useful memory tip is to think of the pipeline as “Extract, Recognize, Redact, Search”—each service handles one distinct step, and the custom skill is the key differentiator for compliance-driven legal workloads.
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 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
Azure AI Document Intelligence extracts text from documents. Azure AI Language provides entity recognition. A custom skill can perform redaction. Azure AI Search indexes the content. Option A is wrong because Azure AI Translator is not needed. Option B is wrong because Azure AI Video Indexer is for video. Option D is wrong because Azure AI Content Safety is for moderation, not redaction.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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
Static NAT maps one inside address to one outside address.
✗
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: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Static NAT maps one inside address to one outside address..
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 — Azure AI Document Intelligence extracts text from documents. Azure AI Language provides entity recognition. A custom skill can perform redaction. Azure AI Search indexes the content. Option A is wrong because Azure AI Translator is not needed. Option B is wrong because Azure AI Video Indexer is for video. Option D is wrong because Azure AI Content Safety is for moderation, not redaction.
What should I do if I get this AI-102 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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