Which of the following is NOT an advantage of using multiple pipeline sets?

Using multiple pipeline sets in Splunk can significantly enhance the way data is ingested and processed. Each of the other advantages highlights the benefits of such an architecture for improving performance and efficiency.

When it comes to processing multiple data streams, using multiple pipeline sets allows parallel processing of incoming data, ensuring that different streams are handled simultaneously rather than sequentially. This capability is crucial in environments with high data volume, as it optimizes resource utilization and minimizes bottlenecks, leading to faster data handling.

Faster delivery of events to indexers is another key advantage, as multiple pipeline sets can distribute the workload more effectively, reducing the time it takes for data to be indexed. This is essential for maintaining real-time analytics and timely insights.

Additionally, the presence of multiple pipelines can also increase the forwarder throughput. By enabling the forwarder to handle more data concurrently, it can maintain a higher rate of data transmission to the Splunk indexers.

In contrast, the assertion that using multiple pipeline sets decreases forwarder throughput is not aligned with the intended benefits of this feature. Multiple pipelines are designed to enhance throughput, not diminish it, making this choice the correct answer in identifying a statement that does not represent an advantage of using multiple pipeline sets.