What does it mean that Relativity Processing feature dynamically scales to fit the jobs submitted?

The statement that Relativity Processing feature dynamically scales to fit the jobs submitted indicates that it can automatically adjust the number of worker servers in response to the workload. This flexibility allows the system to optimize performance and resource allocation, ensuring that tasks are completed efficiently based on the demands of the job being processed.

When jobs have varying requirements, some may need more processing power while others may need less. By automatically scaling the worker servers, the system makes real-time adjustments to ensure that sufficient resources are available when needed, which can significantly improve processing times and user experience. This capability is especially crucial in environments where workloads can vary greatly, as it allows for a seamless handling of peak loads without requiring manual oversight.

In contrast, the other options suggest limitations or requirements that are not characteristics of this dynamic scaling feature. For instance, the options that mention requiring manual intervention, only being effective for smaller datasets, or not being able to adjust worker numbers during processing do not align with the automated, efficient nature of dynamic scaling in the Relativity Processing feature.