A data science team is working on a project that requires testing various features, model structures, and hyperparameters efficiently. The team needs a solution that not only allows for rapid experimentation but also ensures accurate tracking and reporting of experiment metrics with minimal manual effort. The solution should support scalability, cost-effectiveness, and compliance with data governance policies. Given these requirements, which of the following approaches is the BEST for the team to adopt? (Choose two correct options) | Google Professional Machine Learning Engineer Quiz