Splunk Enterprise Certified Architect Practice Exam – Prep Guide & Practice Questions

For indexer clustering in Splunk, having at least three members is essential to ensure data redundancy and fault tolerance. This requirement allows for a distributed system where data can be replicated across multiple indexers. When using three or more indexers, one can act as a master node to manage the cluster, while the others serve as peer nodes that store and index data. This configuration supports high availability, as it ensures that if one indexer goes down, the data can still be accessed and searched from the remaining members. Furthermore, it enables the balancing of workloads and aids in managing large volumes of incoming data efficiently.

The other options do not align with the requirements for indexer clustering. For instance, there is no need for indexers to be located in separate geographic regions or to run exclusively on virtual machines. The use of a single database is also not a requirement; indexers can function with different data stores while still maintaining clustering capabilities.