Correct Answer: Map the output of the Entity Recognition skill to the input of the Custom Web API skill in the skillset definition
In an Azure AI Search skillset, skills are chained together by mapping the output property of one skill (e.g., extracted locations) to the input property of a subsequent skill (e.g...
Correct Answer
Map the output of the Entity Recognition skill to the input of the Custom Web API skill in the skillset definition
Why This Answer Is Correct
In an Azure AI Search skillset, skills are chained together by mapping the output property of one skill (e.g., extracted locations) to the input property of a subsequent skill (e.g., the Custom Web API skill).
This question evaluates your knowledge of Azure AI Search (Skillsets) — a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Search (Skillsets) is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You are building an enrichment pipeline in Azure AI Search. You need to call a proprietary external API to analyze the sentiment of extracted text using custom corporate rules not supported by built-in skills. Which skillset component should you use?
You are processing large PDF documents using Azure AI Search. The documents exceed the maximum character limit for the Entity Recognition cognitive skill. How can you resolve this issue in the enrichment pipeline?