Microsoft Azure AI Engineer Associate AI-102 Practice Question
You process signed expense report PDFs with Azure AI Content Understanding and output to a knowledge store. You must store 1) the extracted CustomerName entity, 2) the line-item expenses table, and 3) the binary image of the handwritten signature so that each artifact can be queried independently. Which knowledge store projection types should you configure for items 1, 2, and 3 respectively?
CustomerName is a single entity that you will usually query or join across many documents, so it should be stored as a row in a table projection. The collection of line-item expenses is already tabular and also belongs in a table projection. Binary artifacts such as normalized images of signatures are stored in blob storage via a file projection. Therefore the correct combination is table, table, and file projections in that order. The incorrect choices assign object projections, which are meant for full JSON documents, or mis-match file projections to non-binary data, preventing efficient querying or storage.
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Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
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