A 403 error in Databricks typically means that the user or service principal trying to access a resource does not have the necessary permissions. This could be due to a variety of reasons, such as:

Incorrect Permissions:

• Service Principal: The service principal used to authenticate with Databricks may have yet to be granted the required permissions on the relevant resources (e.g., storage accounts, clusters, etc.).
• User: The user account may not have the necessary roles or privileges to perform the requested action.

Authentication Issues:

• Token Expired: The authentication token used for the request may have expired. Try renewing the token or re-authenticating.
• Incorrect Credentials: The credentials used for authentication may be incorrect or invalid. Double-check the credentials and ensure they are up-to-date.

Resource-Specific Issues:

• Storage Account: If you’re trying to access data in a storage account, ensure that the Databricks workspace has been granted access to it and that the service principal or user has the necessary permissions on it (e.g., Storage Blob Data Contributor).
• Cluster: If you’re trying to access a cluster, ensure that the cluster exists and that the service principal or user has been granted access.

Troubleshooting Steps:

1. Check Permissions: Verify that the service principal or user has the necessary permissions to access the relevant resources. This may involve granting additional roles or privileges.
2. Check Authentication: Ensure the authentication token is valid and the credentials are correct.
3. Review Error Message: Examine the error message for additional details that may help pinpoint the issue. The error message may indicate which resource is being accessed and what permission is missing.
4. Consult Documentation: For troubleshooting 403 errors, refer to the Databricks documentation. You can also search the Databricks community forums for similar issues and solutions.