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Câu 29: DP-800: Developing AI-Enabled Database Solutions

DRAG DROP -You have an Azure SQL database named DB1 that contains two tables named knowledge_base and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings. DB1 supports an AI-enabled chat agent. You need to design a solution that meets the…

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DRAG DROP -You have an Azure SQL database named DB1 that contains two tables named knowledge_base and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings. DB1 supports an AI-enabled chat agent. You need to design a solution that meets the following requirements:Serializes the retrieved rows from knowledge_baseExtracts the answer field from the responseExtracts the embeddings to store in query_cacheYou will call the external large language model (LLM) by using the sp_invoke_external_rest_endpoint stored procedure. Which Transact-SQL commands should you use for each requirement? To answer, drag the appropriate commands to the correct requirements. Each command may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point.

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Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Lựa chọn A bằng hình ảnh — đáp án hiện tạiLựa chọn A

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