Microsoft Certified Azure AI Engineer Associate - AI-102
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You are developing an image processing application that needs to analyze a large dataset of images containing various objects. The application should be able to detect objects in the images and generate descriptive tags for each image. Additionally, you need to extract text from the images, including both printed and handwritten text. Which Azure AI Vision features would you use, and how would you structure the image processing request to optimize the performance and accuracy of the object detection, tagging, and text extraction process?
Explanation:
Option C is the correct answer. The 'Generate Image Tags' feature is suitable for detecting objects in images and generating descriptive tags. The 'Extract Text from Images' feature can handle both printed and handwritten text extraction. By including only the necessary image analysis features in the request, you can optimize the performance and accuracy of the object detection, tagging, and text extraction process. Option A is incorrect because including all available features may not be necessary and could increase processing time. Option B is incorrect because the 'Convert Handwritten Text' feature is not suitable for extracting printed text. Option D is incorrect because the 'Detect Objects' feature is not required for text extraction.