Which adjustment will reduce cloud storage costs for a Structured Streaming job processing less than 10 minutes?

Setting the trigger interval to 10 minutes is a strategy that can help reduce cloud storage costs for a Structured Streaming job processing data for less than 10 minutes. When the trigger interval is set to a longer duration, the job processes the data in larger batches rather than immediately for each incoming micro-batch. This means that fewer files will be created in the cloud storage, which can lead to decreased storage costs because cloud storage pricing often depends on the number of files and the frequency of writes.

When the trigger interval is shorter, such as 3 seconds, the system creates and writes data to storage much more frequently, resulting in a higher number of files being stored, which can increase costs. Increasing the number of shuffle partitions typically impacts performance rather than storage costs, as it partitions the data being shuffled among different nodes but does not directly affect how data is written to cloud storage. Reducing the number of active clusters can influence compute costs but does not directly reduce storage costs associated with how data is written or batched in the storage layer.

Thus, adjusting the trigger interval for a Structured Streaming job to 10 minutes results in fewer writes to cloud storage, thereby reducing the associated costs effectively.