Microsoft Azure AI Engineer Associate AI-102 Practice Question
A manufacturing company stores thousands of maintenance manuals and inspection reports as PDF and Word files in Azure Blob Storage. They need to build a solution that automatically extracts key entities, indexes the content, and enables faceted, full-text and semantic search through a web app. Which Azure AI Foundry service should you recommend as the core of the solution?
Azure AI Search with a knowledge-mining skillset
Azure Data Explorer using full-text indexing
Azure AI Language conversational language understanding (CLU)
Azure AI Document Intelligence with a custom extraction model only
Azure AI Search is specifically designed for knowledge-mining scenarios. Its indexing pipeline can call built-in or custom cognitive skills (such as OCR and entity recognition), store enriched content, and expose full-text, faceted, and semantic search capabilities through REST and SDK endpoints. Azure AI Language CLU focuses on understanding user utterances, not corpus search. Azure AI Document Intelligence can extract data from individual documents but does not provide searchable indexes or faceting on its own. Azure Data Explorer offers analytics over log and telemetry data rather than AI-driven knowledge mining of unstructured content.
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Microsoft Azure AI Engineer Associate AI-102
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