I tried removing the paths completely, but I still get the same error. 

I also ensured that both the checkpoint and the schema path are on an external storage and set them explicitly, but I still get the same error. I have tested reading from the same path without AutoLoader, and that works without any issue. 

The following example with the same container name and storage account name works:

df = spark.read.format("csv").option("header", "true").load(f"abfss://{container_name}@{storage_account_name}.dfs.core.windows.net/")