How can I ensure that variables and classes defined in one notebook are not accessible to another notebook attached to the same cluster in Databricks?
To ensure that variables and classes defined in one notebook are not accessible to another notebook attached to the same cluster in Databricks, you can rely on the variable and class isolation feature. This feature makes variables and classes available only in the current notebook. Therefore, even if two notebooks are attached to the same cluster and define variables or classes with the same name, these objects will be distinct and not accessible to each other.