Which of the following most improves KV Store resiliency?
A.
Decrease latency between search heads.
B.
Add faster storage to the search heads to improve artifact replication.
C.
Add indexer CPU and memory to decrease search latency.
D.
Increase the size of the Operations Log.
The Answer Is:
A
This question includes an explanation.
Explanation:
KV Store is a feature of Splunk Enterprise that allows apps to store and retrieve data within the context of an app1.
KV Store resides on search heads and replicates data across the members of a search head cluster1.
KV Store resiliency refers to the ability of KV Store to maintain data availability and consistency in the event of failures or disruptions2.
One of the factors that affects KV Store resiliency is the network latency between search heads, which can impact the speed and reliability of data replication2.
Decreasing latency between search heads can improve KV Store resiliency by reducing the chances of data loss, inconsistency, or corruption2.
The other options are not directly related to KV Store resiliency. Faster storage, indexer CPU and memory, and Operations Log size may affect other aspects of Splunk performance, but not KV Store345.
[References: 1: About the app key value store 2: Configure and deploy KV Store using Splunk Enterprise 3: Creating and CRUDing a KV Store in Splunk: Part 1 4: KV store troubleshooting tools 5: Solved: Re: Disabling KV store, , , ]
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