AI-102 · Question #433
Drag and Drop Question You have an Azure subscription that contains an Azure AI Search resource named AS1. You implement a custom skill in AS1 that performs language and sentiment analysis of…
The correct answer is document cracking; skillset execution; field mappings; output field mappings; push to index. The Azure AI Search enrichment pipeline follows a strict sequential order: first, document cracking extracts raw content from source files (images, PDFs, etc.), then the skillset executes AI enrichments (like the custom language/sentiment analysis), followed by field mappings…
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Correct arrangement
- document cracking
- skillset execution
- field mappings
- output field mappings
- push to index
Explanation
The Azure AI Search enrichment pipeline follows a strict sequential order: first, document cracking extracts raw content from source files (images, PDFs, etc.), then the skillset executes AI enrichments (like the custom language/sentiment analysis), followed by field mappings that map source fields to index fields, then output field mappings that route skillset-generated enrichments to index fields, and finally the data is pushed to the index. This order reflects the logical dependency chain where each stage relies on the output of the previous one - you cannot run skills before extracting content, and you cannot map fields before skills have produced their output.
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