A team at a tech startup is developing a cutting-edge deep learning model to predict financial market trends. They have chosen Amazon SageMaker for its comprehensive machine learning capabilities. Given the complexity of their model and the critical importance of accurately predicting market movements, the team is focused on employing the most effective hyperparameter tuning strategies available within SageMaker. They seek guidance on which practices to adopt for hyperparameter tuning to enhance their model's predictive accuracy. Which of the following practices should the team adopt for hyperparameter tuning in Amazon SageMaker? (CHOOSE TWO)