Splunk Updated SPLK-2002 Exam Questions and Answers by shiloh

• 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

 Splunk internal logs are stored in the SPLUNK_HOME/var/log/splunk directory by default. The default log size for Splunk internal logs is 25 MB, which means that when a log file reaches 25 MB, Splunk rolls it to a backup file and creates a new log file. The default number of backup files is 5, which means that Splunk keeps up to 5 backup files for each log file

When converting from a single-site to a multi-site cluster, existing single-site clustered buckets will maintain replication as required according to the single-site policies, but never age out. Single-site clustered buckets are buckets that were created before the conversion to a multi-site cluster. These buckets will continue to follow the single-site replication and search factors, meaning that they will have the same number of copies and searchable copies across the cluster, regardless of the site. These buckets will never age out, meaning that they will never be frozen or deleted, unless they are manually converted to multi-site buckets. Single-site clustered buckets will not continue to replicate within the origin site, because they will be distributed across the cluster according to the single-site policies. Single-site clustered buckets will not be replicated across all peers in the multi-site cluster, because they will follow the single-site replication factor, which may be lower than the multi-site total replication factor. Single-site clustered buckets will not stop replicating within the single-site and remain on the indexer they reside on, because they will still be subject to the replication and availability rules of the cluster

Three peers can fail. This is the maximum number of search peers that can fail before data becomes unsearchable in the indexer cluster with the given characteristics. The searchability of the data depends on the Search Factor, which is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes1. In this case, the Search Factor is 3, which means that each bucket has three searchable copies distributed among the 10 search peers. If three or fewer search peers fail, the cluster can still serve the data from the remaining searchable copies. However, if four or more search peers fail, the cluster may lose some searchable copies and the data may become unsearchable. The other options are not correct, as they either underestimate or overestimate the number of search peers that can fail before data becomes unsearchable. Therefore, option C is the correct answer, and options A, B, and D are incorrect.

1: Configure the search factor