In your role as a Machine Learning Engineer at a fast-growing tech company, you're responsible for optimizing the end-to-end ML pipeline. The pipeline currently includes hyperparameter tuning on AI Platform, which is taking longer than anticipated, causing delays in downstream processes. The team is under pressure to deliver results quickly without compromising the quality of the model. Given the constraints of time and the need to maintain model effectiveness, which two strategies would you implement to speed up the hyperparameter tuning job? (Choose two.)