This piece of code is to mount a ADLS Gen2 Container / directory with Databricks

mount_credentials_passthrough.py

#Don't change configs
configs = {
  "fs.azure.account.auth.type": "CustomAccessToken",
  "fs.azure.account.custom.token.provider.class": spark.conf.get("spark.databricks.passthrough.adls.gen2.tokenProviderClassName")
}

"""
One need following details from ADLS
1. Your container Name (Optionally, coresponding directory name)
2. Your Storage account Name
"""

# Optionally, you can add <directory-name> to the source URI of your mount point.
dbutils.fs.mount(
  source = "abfss://<your Container Name>@<Your storage account name>.dfs.core.windows.net/<Optional - Specific Directory under container>",
  mount_point = "/mnt/<Desired name for your mount - must be unique>",
  extra_configs = configs)

#List mounts
dbutils.fs.mounts()