Splunk Enterprise Certified Admin Practice Test

The correct choice is that there are two types of load balancing available for forwarders in Splunk. Load balancing is crucial for efficiently distributing data across multiple indexers, ensuring high availability and scalability. The two types of load balancing for forwarders are: 1. **Round Robin Load Balancing**: In this method, data is distributed evenly across multiple indexers. Each forwarder sends data to the indexers in a circular manner. This approach helps distribute the load evenly, making it effective when the indexers have similar capabilities and configurations. 2. **Least Connections Load Balancing**: This type of load balancing sends data to the indexer that currently has the fewest active connections. By directing traffic to the least loaded indexer, this method helps optimize resource utilization and can reduce latency for data ingestion. Understanding these two types of load balancing is essential for effectively managing data forwarding in Splunk, as it allows administrators to configure forwarders for optimal performance based on the specific needs of their environment.