Why the ML Runtime?

Your data science team at Sierra Publishing has historically run their machine learning applications on their local laptops. They use different tools to manually manage their libraries and packages but want to start working in the Databricks platform for machine learning workloads. Instead of replicating the processes they have for library management, you want the team to use built-in Databricks functionality.

Which of the following are good reasons to use the Databricks ML Runtime instead of manual library management?