Splunk Enterprise Certified Admin Practice Test

What are the two types of clustering supported by Splunk?

1. Master and slave clustering

2. Indexer and search head clustering

3. Data and metadata clustering

4. Node and cluster management

The correct answer is: Indexer and search head clustering

The correct answer focuses on the specifics of Splunk's architecture regarding how it handles data and search capabilities through clustering. In Splunk, there are two primary types of clustering: indexer clustering and search head clustering. Indexer clustering is employed to manage the storage, indexing, and replication of data across multiple indexers. This setup allows for high availability and data redundancy, as multiple copies of the indexed data can be maintained across different nodes. It ensures that if one indexer goes down, searches can still be performed using the replicas of the data stored on other indexers. Search head clustering, on the other hand, is related to the distribution of search tasks across multiple search heads. This setup allows users to run concurrent searches on a cluster of search heads, improving performance and ensuring that search requests can still be served even if one of the search heads fails. The other options pertain to terms that don't accurately represent the types of clustering supported by Splunk. Both master and slave clustering do not reflect the terminology Splunk uses. Data and metadata clustering oversimplify the functionalities Splunk provides regarding data management. Node and cluster management are related concepts but do not describe the clustering types themselves. Thus, B correctly captures the two distinct clustering types that are