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You are tasked with migrating a custom ML model built with scikit-learn to Vertex AI Training to significantly reduce training time. The model is part of a larger application that requires low latency predictions and must comply with strict data privacy regulations. Given these constraints, what is the BEST first step to take? Choose one correct option.
A
Train your model in a distributed way with multiple Compute Engine VMs to leverage parallel processing.
B
Train your model with Vertex AI Training and GPUs to accelerate the training process.
C
Migrate your model to TensorFlow, and train it on Vertex AI Training to take advantage of TensorFlow's optimizations.
D
Train your model with DLVM images on Vertex AI, and ensure your code utilizes NumPy and SciPy internal methods when possible for optimized performance.