SPLK-2002 Dumps with Practice Exam Questions Answers

The splunk clean kvstore command is used to clear the KV store. This command will delete all the collections and documents in the KV store and reset it to an empty state. This command can be useful for troubleshooting KV store issues or resetting the KV store data. The splunk clear kvstore, splunk delete kvstore, and splunk reinitialize kvstore commands are not valid Splunk commands. For more information, see Use the CLI to manage the KV store in the Splunk documentation.

The correct answer is C. 100 GB per day. This is the expected minimum amount of storage required for data across an indexer cluster with the given input and parameters. The storage requirement can be calculated by adding the raw data size and the index files size, and then multiplying by the Replication Factor and the Search Factor1. In this case, the calculation is:

(15 GB + 35 GB) x 2 x 2 = 100 GB

The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Search Factor is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes3. Both factors affect the storage requirement, as they determine how many copies of the data are stored and searchable on the indexers. The other options are not correct, as they do not match the result of the calculation. Therefore, option C is the correct answer, and options A, B, and D are incorrect.

1: Estimate storage requirements 2: About indexer clusters and index replication 3: Configure the search factor

According to the Splunk Enterprise User Authentication and Authorization Guide, effective user management during deployment planning involves identifying how users will authenticate (native, LDAP, or SAML) and defining what roles and capabilities they will need to perform their tasks.

However, counting or analyzing the number of users who appear in Splunk log events (Option C) is not part of user management planning. This metric relates to audit and monitoring, not access provisioning or role assignment.

A proper user management plan should address:

Authentication method selection (native, LDAP, or SAML).

User mapping and provisioning workflows from existing identity stores.

Role-based access control (RBAC) — assigning users appropriate permissions via Splunk roles and capabilities.

Administrative governance — ensuring access policies align with compliance requirements.

Determining the number of users visible in log events provides no operational value when planning Splunk authentication or authorization architecture. Therefore, this task can be safely disregarded during initial planning.

References (Splunk Enterprise Documentation):

• User Authentication and Authorization in Splunk Enterprise

• Configuring LDAP and SAML Authentication

• Managing Users, Roles, and Capabilities

• Splunk Deployment Planning Manual – Security and Access Control Planning

Number of concurrent users: This is an important factor because it affects the search performance and resource utilization of the Splunk environment. More users mean more concurrent searches, which require more CPU, memory, and disk I/O. The number of concurrent users also determines the search head capacity and the search head clustering configuration12

Volume of incoming data: This is another crucial factor because it affects the indexing performance and storage requirements of the Splunk environment. More data means more indexing throughput, which requires more CPU, memory, and disk I/O. The volume of incoming data also determines the indexer capacity and the indexer clustering configuration13

Existence of premium apps: This is a relevant factor because some premium apps, such as Splunk Enterprise Security and Splunk IT Service Intelligence, have additional requirements and recommendations for the Splunk environment. For example, Splunk Enterprise Security requires a dedicated search head cluster and a minimum of 12 CPU cores per search head. Splunk IT Service Intelligence requires a minimum of 16 CPU cores and 64 GB of RAM per search head45

According to the Indexer Clustering Administration Guide, the most efficient and Splunk-recommended way to configure and manage receiving ports for all clustered indexers (peer nodes) is through the Cluster Manager (previously known as the Master Node).

In a clustered environment, configuration changes that affect all peer nodes—such as receiving port definitions—should be managed centrally. The correct procedure is to define the inputs configuration file (inputs.conf) within the Cluster Manager’s manager-apps directory. Specifically, the configuration is placed in:

$SPLUNK_HOME/etc/manager-apps/_cluster/local/inputs.conf

and then deployed to all peers using the configuration bundle push mechanism.

This centralized approach ensures consistency across all peer nodes, prevents manual configuration drift, and allows Splunk to maintain uniform ingestion behavior across the cluster.

Running splunk enable listen on each peer (Option C) or manually configuring inputs via Splunk Web (Option A) introduces inconsistencies and is not recommended in clustered deployments. Using the deployment-apps path (Option B) is meant for deployment servers, not for cluster management.

References (Splunk Enterprise Documentation):

• Indexer Clustering: Configure Peer Nodes via Cluster Manager

• Deploy Configuration Bundles from the Cluster Manager

• inputs.conf Reference – Receiving Data Configuration

• Splunk Enterprise Admin Manual – Managing Clustered Indexers