An ML lead wants to compare a custom model and an AutoML model trained from the same managed dataset and also optionally export the resulting model into Vertex AI. Which training job type supports that workflow?

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B. Training pipeline. A training pipeline can run a custom job or hyperparameter tuning job, optionally export model artifacts to create a model resource, and can use a Vertex AI managed dataset as the data source. A custom job runs training code, but it does not provide that full pipeline behavior by itself.

An ML lead wants to compare a custom model and an AutoML model trained from the same managed dataset and also optionally export the resulting model into Vertex AI. Which training job type supports that workflow?

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