Câu 13: DP-800: Developing AI-Enabled Database Solutions
You have an Azure SQL database that contains tables named dbo.ProductDocs and dbo.ProductDocsEmbeddings. dbo.ProductDocs contains product documentation and the following columns:DocID (int)Title (nvarchar(200))Body (nvarchar(max))LastModified (datetime2)The documentation is edited throughout the day.dbo.ProductDocsEmb…
Nội dung câu hỏi
You have an Azure SQL database that contains tables named dbo.ProductDocs and dbo.ProductDocsEmbeddings. dbo.ProductDocs contains product documentation and the following columns:DocID (int)Title (nvarchar(200))Body (nvarchar(max))LastModified (datetime2)The documentation is edited throughout the day.dbo.ProductDocsEmbeddings contains the following columns:DocID (int)ChunkOrder (int)ChunkText (nvarchar(max))Embedding (vector(1536))The current embedding pipeline runs once per night. You need to ensure that embeddings are updated every time the underlying documentation content changes. The solution must NOT require a nightly batch process. What should you include in the solution?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. fixed-size chunking
- B. a smaller embedding model
- C. table triggers
- D. change tracking on dbo.ProductDocs — đáp án hiện tại
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