A data engineer has prepared a notebook to be scheduled as part of a data pipeline. The following commands produce correct results when executed as shown:

Cmd 1:
rawDF = spark.table("raw_data")

Cmd 2:
rawDF.printSchema()

Cmd 3:
flattenedDF = rawDF.select("*", "values.*")

Cmd 4:
finalDF = flattenedDF.drop("values")

Cmd 5:
display(finalDF)

Cmd 6:
finalDF.write.mode("append").saveAsTable("flat_data")

Cmd 1:
rawDF = spark.table("raw_data")

Cmd 2:
rawDF.printSchema()

Cmd 3:
flattenedDF = rawDF.select("*", "values.*")

Cmd 4:
finalDF = flattenedDF.drop("values")

Cmd 5:
display(finalDF)

Cmd 6:
finalDF.write.mode("append").saveAsTable("flat_data")

Which command should be excluded from the notebook before scheduling it as a job?