You are running an automated machine learning (AutoML) classification job in Azure Machine Learning using the Python SDK v2. Your team wants to review every candidate model AutoML trained, including each model's hyperparameters and validation metrics, so they can audit and reproduce the best trial later. You need to identify where this information is captured with minimal additional configuration. Where should you look to retrieve the per-trial hyperparameters and metrics?