GCP Cloud Digital Leader Practice Question

Vertex AI custom training lets teams bring their own code in Docker containers, select CPU, GPU, or TPU resources, and invoke managed services such as hyperparameter tuning, experiment tracking, and model registry. This provides full flexibility for unique deep-learning architectures while off-loading infrastructure operations to Google Cloud-enabling true differentiation.

BigQuery ML limits users to predefined algorithms expressed in SQL and does not allow custom training code. The Cloud Vision API is a fully pre-trained service for image tasks, not customer lifetime value prediction. AutoML Tables trains models on tabular data with minimal code, but it hides model architecture and offers less control than custom training, making it less suitable when bespoke deep-learning approaches are required.