Topic 1 Question 98
You built a custom ML model using scikit-learn. Training time is taking longer than expected. You decide to migrate your model to Vertex AI Training, and you want to improve the model’s training time. What should you try out first?
Migrate your model to TensorFlow, and train it using Vertex AI Training.
Train your model in a distributed mode using multiple Compute Engine VMs.
Train your model with DLVM images on Vertex AI, and ensure that your code utilizes NumPy and SciPy internal methods whenever possible.
Train your model using Vertex AI Training with GPUs.
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コメント(11)
- 正解だと思う選択肢: C
GPU is not useful for sciki-learn model https://scikit-learn.org/stable/faq.html#will-you-add-gpu-support but DLVM did mention it is support scikit-learn framework https://cloud.google.com/deep-learning-vm
👍 3mymy94182022/12/21 - 正解だと思う選択肢: C
Scikit learn does not support GPU:s https://scikit-learn.org/stable/faq.html#will-you-add-gpu-support
👍 3behzadsw2023/01/07 - 正解だと思う選択肢: D
Training a machine learning model on a GPU can significantly improve the training time compared to training on a CPU.
👍 1mil_spyro2022/12/17
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