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Answer: Train your model with DLVM images on Vertex AI, and ensure your code utilizes NumPy and SciPy internal methods when possible for optimized performance.
This is the correct answer because DLVM images on Vertex AI are specifically optimized for Machine Learning workloads, featuring the latest versions of popular ML frameworks. Leveraging SciPy and NumPy internal methods can significantly reduce training time by utilizing vectorization, optimized memory usage, and faster computations, while also complying with data privacy regulations through Vertex AI's secure environment.
Author: LeetQuiz Editorial Team
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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.
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