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SPLK-2002(205Q) · Question #74

What is the algorithm used to determine captaincy in a Splunk search head cluster?

The correct answer is A. Raft distributed consensus. The algorithm used to determine captaincy in a Splunk search head cluster is Raft distributed consensus. Raft is a consensus algorithm that is used to elect a leader among a group of nodes in a distributed system. In a Splunk search head cluster, Raft is used to elect a captain…

Search Head Clustering

Question

What is the algorithm used to determine captaincy in a Splunk search head cluster?

Options

  • ARaft distributed consensus.
  • BRapt distributed consensus.
  • DRound-robin distribution consensus.

How the community answered

(26 responses)
  • A
    88% (23)
  • B
    8% (2)
  • D
    4% (1)

Explanation

The algorithm used to determine captaincy in a Splunk search head cluster is Raft distributed consensus. Raft is a consensus algorithm that is used to elect a leader among a group of nodes in a distributed system. In a Splunk search head cluster, Raft is used to elect a captain among the cluster members. The captain is the cluster member that is responsible for coordinating the search activities, replicating the configurations and apps, and pushing the knowledge bundles to the search peers. The captain is dynamically elected based on various criteria, such as CPU load, network latency, and search load. The captain can change over time, depending on the availability and performance of the cluster members. Rapt, Rift, and Round-robin are not valid algorithms for determining captaincy in a Splunk search head cluster

Topics

#Search Head Cluster#Raft consensus#captain election#distributed consensus

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