Microsoft Azure AI Engineer Associate AI-102 Practice Question
In a mobile banking app you must read handwritten feedback written on deposit slips photographed by customers. You decide to call Azure AI Vision REST endpoints without using an SDK. Which REST workflow should you implement to reliably extract the handwriting?
POST the image to /vision/v3.2/ocr?language=unk&detectOrientation=true and parse the synchronous JSON response for text lines.
POST the image to /vision/v3.2/read/analyze, then poll the URL in the Operation-Location header with GET requests until the status is succeeded and readResults are returned.
POST the image to /vision/v3.2/tag and read tags whose confidence score is greater than 0.8.
POST the image to /vision/v3.2/analyze?visualFeatures=Description and extract the generated captions text.
The Read operation is the endpoint that supports both printed and handwritten text extraction. You send a POST request to the /vision/v3.2/read/analyze endpoint with the image, then obtain the URL contained in the Operation-Location response header. That URL is polled with GET requests until the returned status value is "succeeded", after which the JSON readResults array contains the recognized handwritten lines. The traditional OCR endpoint returns results synchronously but is optimized for printed text and gives poor or no output for handwriting. The Analyze and Tag operations provide captions or tags, not transcribed text, so they cannot meet the requirement.
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Microsoft Azure AI Engineer Associate AI-102
Implement computer vision solutions
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