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Answer: Use the 'Generate Image Tags' feature and include only the necessary image analysis features to reduce processing time.
Option B is the correct answer. The 'Generate Image Tags' feature is suitable for detecting and classifying scenes in images. By including only the necessary image analysis features in the request, you can optimize performance and accuracy without unnecessary processing. Option A is incorrect because including all available features may not be necessary and could increase processing time. Option C is incorrect because the 'Extract Text from Images' feature is not suitable for classifying scenes. Option D is incorrect because the 'Convert Handwritten Text' feature is not relevant to the task of analyzing scenes in images.
Author: LeetQuiz Editorial Team
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You are developing an image processing application that needs to analyze a large dataset of images containing various scenes, such as landscapes, cityscapes, and indoor scenes. The application should be able to detect and classify the scenes in the images. Which Azure AI Vision feature would you use to meet this requirement, and how would you structure the image processing request to optimize performance and accuracy?
A
Use the 'Detect Objects' feature and include all available image analysis features in the request.
B
Use the 'Generate Image Tags' feature and include only the necessary image analysis features to reduce processing time.
C
Use the 'Extract Text from Images' feature and apply custom models to classify the scenes.
D
Use the 'Convert Handwritten Text' feature and combine it with custom machine learning models to detect and classify the scenes.
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