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You are a machine learning engineer at a social media company tasked with developing a real-time image classification model for an iOS mobile application to identify fashion accessories. You have a pre-labeled dataset stored in Cloud Storage that you will use for training. Your objectives are to create the model using a no-code solution, ensure the solution minimizes operational costs, and achieve the lowest possible latency for predictions. What should you do?
A
Train the model by using AutoML, and register the model in Vertex AI Model Registry. Configure your mobile application to send batch requests during prediction.
B
Train the model by using AutoML Edge, and export it as a Core ML model. Configure your mobile application to use the .mlmodel file directly.
C
Train the model by using AutoML Edge, and export the model as a TFLite model. Configure your mobile application to use the .tflite file directly.
D
Train the model by using AutoML, and expose the model as a Vertex AI endpoint. Configure your mobile application to invoke the endpoint during prediction.