Currently the notebook need to use spark.conf.set to set storage account password .

spark.conf.set("fs.azure.account.auth.type.**************************dfs.core.windows.net", "OAuth")
spark.conf.set("fs.azure.account.oauth.provider.type..**************************.dfs.core.windows.net", "org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider")
spark.conf.set("fs.azure.account.oauth2.client.id..**************************.dfs.core.windows.net", ".**************************")
spark.conf.set("fs.azure.account.oauth2.client.secret..**************************.dfs.core.windows.net", dbutils.secrets.get(scope=".**************************",key=".**************************"))
spark.conf.set("fs.azure.account.oauth2.client.endpoint..**************************.dfs.core.windows.net", "https://login.microsoftonline.com/.**************************/oauth2/token")j

how to include in during spark cluster startup as a global config ?

@sakuraime Thanks for using Microsoft Q&A !!
I do not think you can use spark.conf.set in global config files. Can you please clarify more what exactly you to achieve with by setting this at cluster level ? If my understanding is correct and if you want your storage account to be available for all users in the databricks workspace then you can plan to create a storage mount point to a specific container path. Please refer to the Mount ADLS Gen2 storage documentation for detailed steps. Thanks.

Sample ini code:

fs.azure.account.auth.type.chepragen2.dfs.core.windows.net OAuth  
fs.azure.account.oauth.provider.type.chepragen2.dfs.core.windows.net org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider  
fs.azure.account.oauth2.client.id.chepragen2.dfs.core.windows.net {{secrets/chepra/ClientID}}  
fs.azure.account.oauth2.client.secret.chepragen2.dfs.core.windows.net {{secrets/chepra/ClientSecret}}  
fs.azure.account.oauth2.client.endpoint.chepragen2.dfs.core.windows.net https://login.microsoftonline.com/72f988bf-86f1-41af-91ab-2d7cd011db47/oauth2/token  
For more details, refer Azure Databricks - configure the cluster to read secrets from the secret scope.    
Hope this helps. Do let us know if you any further queries.    
------------    
Please don’t forget to Accept Answer and Up-Vote wherever the information provided helps you, this can be beneficial to other community members.     
actually my secret are in keyvault , and I have link databricks to that keyvault. , and I am getting the get dbutils.secrets.get........    
however ..    

it says    
												
Hi @sakuraime  ,    
Yes, the above instructions uses secrets are in Azure keyvault.    
Sample ini code:    
fs.azure.account.auth.type.chepragen2.dfs.core.windows.net OAuth  
fs.azure.account.oauth.provider.type.chepragen2.dfs.core.windows.net org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider  
fs.azure.account.oauth2.client.id.chepragen2.dfs.core.windows.net {<!-- -->{secrets/KeyVaultName/ClientID}}  
fs.azure.account.oauth2.client.secret.chepragen2.dfs.core.windows.net {<!-- -->{secrets/KeyVaultName/ClientSecret}}  
fs.azure.account.oauth2.client.endpoint.chepragen2.dfs.core.windows.net https://login.microsoftonline.com/<Directory_ID>/oauth2/token  
Hope this helps. Do let us know if you any further queries.    
												
Hi @sakuraime  ,    
Following up to see if the above suggestion was helpful. And, if you have any further query do let us know.    

Take care & stay safe!    
						
Hi @PRADEEPCHEEKATLA-MSFT   , I have used the same configuration as mentioned above and getting the following error. Could you please help.    
The configuration is working fine when I give the application id and secret value directly (not from key vault)    
key-vault :  it is the secret scope created in the workspace.