Articulate How and Why Splunk Grows from Standalone Environment to Distributed Environment with Indexer and Search Head Clustering CORE-CERTIFIED-CONSULTANT Practice Questions (Page 1)

Questions 1–5

1. 1application · easy

   A company is moving from a standalone Splunk deployment to a distributed architecture. They have a large number of users who run ad-hoc searches, and they want to ensure that the search head is not a single point of failure. What should they implement?

   • AForwarder load balancing
   • BSearch head clustering
   • CDeployment server
   • DIndexer clustering
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A company has three search heads in a search head cluster. They need to ensure that scheduled searches continue to run if one search head fails. They also want to avoid duplicate scheduled searches. What is required for this to work correctly?

   • AA load balancer in front of the search heads.
   • BA dedicated search head for scheduled searches.
   • CA deployer to push apps and a shared configuration that includes scheduling.
   • DEach search head must have its own copy of scheduled searches.
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which component in an indexer cluster is responsible for managing the cluster and ensuring data replication?

   • ACluster master
   • BSearch head
   • CDeployment server
   • DLicense master
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the primary purpose of indexer clustering in a distributed Splunk environment?

   • ATo reduce storage costs by storing only unique data on each indexer
   • BTo provide high availability and data redundancy by replicating indexed data across multiple indexers
   • CTo load balance search requests across multiple search heads
   • DTo simplify configuration management by centralizing all indexer settings on a single server
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   What is the main benefit of search head clustering in a distributed Splunk environment?

   • AIt provides high availability and load balancing for search requests across multiple search heads.
   • BIt increases indexing throughput by parallelizing data ingestion.
   • CIt replicates indexed data to prevent data loss.
   • DIt reduces the number of licenses required for the deployment.
   Reveal Solution Discussion Select an answer first