What is a key benefit of having multiple indexers in a Splunk cluster?

Having multiple indexers in a Splunk cluster primarily offers improved search performance and fault tolerance through data replication. This setup ensures that data is stored redundantly across different indexers, which enhances the system's reliability. If one indexer fails, another can take over, preventing data loss and maintaining availability for users.

Moreover, due to the distributed nature of the indexers, search queries can be processed in parallel, which significantly speeds up the search performance. This combination of enhanced performance and reliable data protection is critical for organizations that require high availability and fast access to their data for operational intelligence.

The other options do not capture this central advantage. The notion of increased user access control is more about authentication and authorization features rather than the benefits of clustering. While multiple indexers do facilitate running multiple searches at once, the primary focus in terms of benefits is on performance and fault tolerance. Finally, a reduction in data storage requirements is not accurate; clustering usually involves duplicating data across indexers, which can potentially increase the storage footprint.