additionally_allowed_tenants config not found in Spark session for Multi-tenant app

We have a multi-tenant Azure app (Tenant A, Tenant B). We are using Tenant A's Service Principle credentials to access the ADLS files on Tenant B. We are using pySpark for this job.

Using the above multi-tenant app credential, we are getting 401 unauthorized error in spark session.

But if we are using Python library (azure.identity), then using the following 'additionally_allowed_tenants' options enables us to authorize the access Tenant B's ADLS containers using Tenant A's credentials.

`default_credential = DefaultAzureCredential(additionally_allowed_tenants=['*'])`

We want to achieve the same with pySpark, but we can't see any option or configuration available to do it through Spark session.

We are using:
- Apache Spark 3.5.0
- Databricks Notebook (Runtime Version 14.3 LTS)
- [Azure Service Principle](https://docs.databricks.com/en/connect/storage/azure-storage.html#language-Azure%C2%A0service%C2%A0principal)

Please guide us to resolve this issue.

从 issue 中描述的 Databricks 和 Apache Spark 服务主体配置开始，然后将其与 Python azure.identity 的 additionally_allowed_tenants 行为进行比较。确定 Spark 是否为跨租户 ADLS 访问提供等效的租户允许列表设置；完成的标准是存在一种有文档说明或已实现的配置，可以避免报告的 401 响应。

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