Your data science team is tasked with developing a machine learning model to predict customer churn. The team needs to experiment with various features, model architectures, and hyperparameters efficiently. They require a solution that not only automates the tracking of accuracy metrics across experiments but also allows for querying these metrics over time via an API to analyze trends and make informed decisions. The solution should minimize manual effort, support scalability, and ensure compliance with data governance policies. Which of the following solutions best meets these requirements? Choose the best option. | Google Professional Machine Learning Engineer Quiz