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easy
Gcp Vertex Ai
A team wants to run a custom PyTorch training script on Vertex AI without building a Docker container from scratch. Which Vertex AI feature enables this, and what is the mechanism?
A
Vertex AI Training only supports TensorFlow; PyTorch requires a custom container
B
Vertex AI Pre-built Containers — Google provides managed Docker images for PyTorch, TensorFlow, and scikit-learn. The team packages their script as a Python source distribution and submits a Custom Training Job pointing to the pre-built container and their script URI
C
Vertex AI Workbench notebooks execute training scripts directly on managed VMs with no container requirement
D
The team must use Vertex AI AutoML, which handles framework selection automatically
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