Which of the following is most likely to improve indexing performance?
Indexing is slow and real-time search results are delayed in a Splunk environment with two indexers and one search head. There is ample CPU and memory available on the indexers.
Which of the following is most likely to improve indexing performance?
A . Increase the maximum number of hot buckets in indexes.conf
B . Increase the number of parallel ingestion pipelines in server.conf
C . Decrease the maximum size of the search pipelines in limits.conf
D . Decrease the maximum concurrent scheduled searches in limits.conf
Answer: B
Explanation:
Increasing the number of parallel ingestion pipelines in server.conf is most likely to improve indexing performance when indexing is slow and real-time search results are delayed in a Splunk environment with two indexers and one search head. The parallel ingestion pipelines allow Splunk to process multiple data streams simultaneously, which increases the indexing throughput and reduces the indexing latency. Increasing the maximum number of hot buckets in indexes.conf will not improve indexing performance, but rather increase the disk space consumption and the bucket rolling time. Decreasing the maximum size of the search pipelines in limits.conf will not improve indexing performance, but rather reduce the search performance and the search concurrency. Decreasing the maximum concurrent scheduled searches in limits.conf will not improve indexing performance, but rather reduce the search capacity and the search availability. For more information, see Configure parallel ingestion pipelines in the Splunk documentation.
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