Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are developing a mobile app for wildlife researchers. The app must detect and label multiple protected bird species in photos that are taken in remote areas with no network connectivity. The detection model must run entirely on the device and be retrained periodically as researchers upload additional labeled images. Which Azure AI service should you choose to meet these requirements?
Azure AI Video Indexer
Azure AI Vision Custom Vision with object-detection capability
Azure AI Vision Custom Vision lets you create and train custom image classification or object-detection models in the cloud, then export the trained model to formats such as TensorFlow Lite, Core ML, and ONNX. Exported models can run locally on mobile or embedded devices without an internet connection, and the service supports iterative retraining as new labeled images are added. The Computer Vision Read API, Face API, and Video Indexer all require calls to Azure endpoints at inference time and cannot be exported for fully offline execution, so they do not satisfy the offline and retraining needs.
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What is Azure AI Vision Custom Vision?
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How does exporting to TensorFlow Lite, Core ML, or ONNX make models usable offline?
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Why can't the Read API, Face API, or Video Indexer meet offline requirements?
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Microsoft Azure AI Engineer Associate AI-102
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