Well your error message is telling you that Spark is encountering a Delta table conflict while trying to read a CSV file. The file path dbfs:/mnt/dbacademy... points to a CSV file. This is where the fun begins. Spark detects a Delta transaction log dbfs://_delta_log in the same dbfs mount point. Now since Delta tables have a specific format, Spark gives priority to the Delta format check and throws an error when you try to read the file as a CSV.

So you need to ascertain if the file you are reading is a Delta table. in that case use
raw_df = spark.read.format("delta").load(your_file_path)

Else ensure the CSV file name doesn't conflict with any existing Delta table in the same dbms mount. Just rename the CSV file to avoid the conflict.

HTH