While Databricks is currently available and integrated into all three major cloud platforms (Azure, AWS, GCP) , following are pertinent questions that comes across in the real-world scenarios,

1) Whether Databricks can be cloud agnostic (i.e.,) In case we develop notebooks for data engineering pipelines with Azure databricks - Can the same be exported and used in other cloud platforms in case the client wants to switch the cloud platform at a later point in time?

2) How about the delta lake / tables support in these environments in the above scenario - Say for example: if the root folder containing the delta table data is copied to a different cloud storage (ex: ADLS to S3) and a delta table is created on top of this data - will it work seamlessly?

3) In another case of a multi cloud environment - what are the possibilities of using the same notebooks /code in the databricks workspace across the cloud environments

Are there are any documentation available for the above pointers - will be helpful to get a reference for the same if available.