I would like to know how to connect to Azure Blob Storage in a Python job inside a workflow with serverless cluster. When working with a non-serverless cluster or with serverless in a declarative pipeline, I would typically set the Azure storage account key using the spark.conf.set method as shown below:

spark.conf.set(
"fs.azure.account.key.<storage-account>.dfs.core.windows.net",
dbutils.secrets.get(scope="<scope>", key="<storage-account-access-key>"))