To create a DataFrame with 12 partitions from an existing DataFrame with 8 partitions, the key is to use operations that can increase the partition count.

• Option A (df.repartition(12)) is correct because repartition triggers a full shuffle and can increase or decrease the number of partitions to the specified value (12 here).
• Option D (df.coalesce(12)) is incorrect because coalesce can only reduce the number of partitions. If the target is larger than the current partition count (8 → 12), it leaves the DataFrame unchanged.
• Options B, C, E are invalid: cache() does not alter partitions, partitionBy is not a DataFrame method (used in writing data), and partition counts must be integers.