Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are integrating Azure AI Document Intelligence by calling the RecognizeReceipts REST API (v2.1). The solution must later render an on-screen overlay that highlights every detected word in the source JPEG image. By default, the service response only contains high-level field values. Which request modification ensures the API also returns line- and word-level OCR results with bounding boxes?
Use the prebuilt Layout model instead of the prebuilt Receipt model.
Append the query parameter "includeTextDetails=true" to the analyze request URL.
Set the request header "Content-Type" to "image/jpeg" instead of "multipart/form-data".
Specify model-version=2023-07-31-preview in the request header.
The RecognizeReceipts (and other prebuilt) operations expose the optional query parameter includeTextDetails. Setting includeTextDetails=true instructs the service to include the full OCR hierarchy-pages, lines, words-and their bounding polygons in the analysis result. Changing the model version or content-type header does not alter the granularity of returned content. Switching to the Layout model would provide words and lines but would no longer return the receipt-specific key-value pairs required by the application.
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What does the 'includeTextDetails=true' parameter do in Azure AI Document Intelligence?
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What are bounding boxes or polygons in OCR results?
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Why is the prebuilt Receipt model better for receipt analysis than the Layout model?
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Microsoft Azure AI Engineer Associate AI-102
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