To sort a Spark DataFrame by multiple columns, use .orderBy() (or .sort()) with column expressions.

Correct syntax for descending and ascending mix:

from pyspark.sql.functions import col

df1.orderBy(col("count").desc(), col("Name").asc())

This sorts primarily by count in descending order and secondarily by Name in ascending order (alphabetically).

Why the other options are incorrect:

B/C: Default sort order is ascending; won’t place highest counts first.

D: Reverses sorting logic — sorts Name descending, not required.