Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You build an Azure AI Search pipeline that extracts named entities from product manuals by using built-in entity-recognition skills. You must persist each entity as a separate record that includes the source document ID, entity category, text, and confidence score so that analysts can query the data from Power BI through Azure Table Storage. When defining the knowledge store in the skillset, which projection type should you configure?

  • File projection that saves the enriched content of each manual as an individual JSON file

  • Vector projection that stores numerical embeddings of the extracted entities

  • Table projection that maps entity fields to columns for storage in Azure Table Storage

  • Object projection that stores the output as hierarchical JSON documents

Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
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