PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #155
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #155: Real Exam Question with Answer & Explanation
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Question
You are developing an image recognition model using PyTorch based on ResNet50 architecture. Your code is working fine on your local laptop on a small subsample. Your full dataset has 200k labeled images. You want to quickly scale your training workload while minimizing cost. You plan to use 4 V100 GPUs. What should you do?
Options
- ACreate a Google Kubernetes Engine cluster with a node pool that has 4 V100 GPUs. Prepare and
- BCreate a Vertex AI Workbench user-managed notebooks instance with 4 V100 GPUs, and use it
- CPackage your code with Setuptools, and use a pre-built container. Train your model with Vertex
- DConfigure a Compute Engine VM with all the dependencies that launches the training. Train your
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