DBFS can be used in many ways.

Please refer below:

• Allows you to interact with object storage using directory and file semantics instead of cloud-specific API commands.
• Allows you to mount cloud object storage locations so that you can map storage credentials to paths in the Databricks workspace.
• Simplifies the process of persisting files to object storage, allowing virtual machines and attached volume storage to be safely deleted on cluster termination.
• Provides a convenient location for storing init scripts, JARs, libraries, and configurations for cluster initialization.
• Provides a convenient location for checkpoint files created during model training with OSS deep learning libraries.

https://docs.databricks.com/dbfs/index.html#what-can-you-do-with-dbfs

Please let us know if this helps or you need further clarification on the same.