Microsoft Certified Azure AI Engineer Associate - AI-102
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You are working on an application that needs to analyze a large dataset of images containing various types of animals, such as dogs, cats, and birds. The application should be able to detect the animals in the images and generate descriptive tags for each image. 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?
You are working on an application that needs to analyze a large dataset of images containing various types of animals, such as dogs, cats, and birds. The application should be able to detect the animals in the images and generate descriptive tags for each image. 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?
Explanation:
Option B is the correct answer. The 'Generate Image Tags' feature is suitable for detecting animals in images and generating descriptive tags. 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 detecting animals. Option D is incorrect because the 'Convert Handwritten Text' feature is not relevant to the task of analyzing animals in images.