Free Splunk SPLK-2002 Practice Exam with Questions & Answers | Set: 2

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

Comprehensive and Detailed Explanation (From Splunk Enterprise Documentation)Splunk Enterprise documentation clarifies that none of the listed configurations are prohibited in production. Splunk allows the Cluster Manager to be colocated with the Monitoring Console in small deployments because both are management-plane functions and do not handle ingestion or search traffic. The documentation also states that the Search Head Cluster Deployer is not a runtime component and has minimal performance requirements, so it may be colocated with the Monitoring Console or Licensing Master when hardware resources permit.

Splunk also supports virtual machines for both search heads and indexers, provided they are deployed with dedicated CPU, storage throughput, and predictable performance. Splunk’s official hardware guidance specifies that while bare metal often yields higher performance, virtualized deployments are fully supported in production as long as sizing principles are met.

Because Splunk explicitly supports all four configurations under proper sizing and best-practice guidelines, there is no correct selection for “unsupported.” The question is outdated relative to current Splunk Enterprise recommendations.

According to Splunk’s Enterprise Security (ES) Installation and Sizing Guide, the majority of processing and computational load generated by the Splunk App for Enterprise Security is concentrated on the Search Head(s).

This is because Splunk ES is built around a search-driven correlation model — it continuously runs scheduled correlation searches, data model accelerations, and notables generation jobs. These operations rely on the search head tier’s CPU, memory, and I/O resources rather than on indexers. ES also performs extensive data model summarization, CIM normalization, and real-time alerting, all of which are search-intensive operations.

While indexers handle data ingestion and indexing, they are not heavily affected by ES beyond normal search request processing. The Cluster Manager only coordinates replication and plays no role in search execution, and Heavy Forwarders serve as data collection or parsing points with minimal analytical load.

Splunk officially recommends deploying ES on a dedicated Search Head Cluster (SHC) to isolate its high CPU and memory demands from other workloads. For large-scale environments, horizontal scaling via SHC ensures consistent performance and stability.

References (Splunk Enterprise Documentation):

• Splunk Enterprise Security Installation and Configuration Guide

• Search Head Sizing for Splunk Enterprise Security

• Enterprise Security Overview – Workload Distribution and Performance Impact

• Splunk Architecture and Capacity Planning for ES Deployments

According to the Splunk documentation1, the CHARSET setting in props.conf specifies the character set encoding of the source data. This setting has the least impact on indexing performance, as it only affects how Splunk interprets the bytes of the data, not how it processes or transforms the data. The other options are false because:

The SHOULD_LINEMERGE setting in props.conf determines whether Splunk breaks events based on timestamps or newlines. This setting has a significant impact on indexing performance, as it affects how Splunk parses the data and identifies the boundaries of the events2.

The TRUNCATE setting in props.conf specifies the maximum number of characters that Splunk indexes from a single line of a file. This setting has a moderate impact on indexing performance, as it affects how much data Splunk reads and writes to the index3.

The TIME_PREFIX setting in props.conf specifies the prefix that directly precedes the timestamp in the event data. This setting has a moderate impact on indexing performance, as it affects how Splunk extracts the timestamp and assigns it to the event

A monitored log file is changing on the forwarder, but Splunk searches are not finding any new data that has been added. This could be caused by two possible reasons: B. An admin has removed the Splunk fishbucket on the forwarder. C. The last 256 bytes of the monitored file are not changing. Option B is correct because the Splunk fishbucket is a directory that stores information about the files that have been monitored by Splunk, such as the file name, size, modification time, and CRC checksum. If an admin removes the fishbucket, Splunk will lose track of the files that have been previously indexed and will not index any new data from those files. Option C is correct because Splunk uses the CRC checksum of the last 256 bytes of a monitored file to determine if the file has changed since the last time it was read. If the last 256 bytes of the file are not changing, Splunk will assume that the file is unchanged and will not index any new data from it. Option A is incorrect because running the splunk clean eventdata -index  command on the indexer will delete all the data from the specified index, but it will not affect the forwarder’s ability to send new data to the indexer. Option D is incorrect because Splunk does not use the first 256 bytes of a monitored file to determine if the file has changed12

1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Data/Monitorfilesanddirectories 2: https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/Didyouloseyourfishbucket

According to the Splunk Enterprise Capacity Planning and Hardware Sizing Guidelines, a distributed Splunk environment’s minimum search head specification must ensure that the system can efficiently manage search parsing, ad-hoc query execution, and knowledge object replication. Splunk officially recommends using a 64-bit x86 architecture system with a minimum of two physical CPU cores (or four vCPUs) running at 2 GHz or higher per core for acceptable performance.

Search heads are CPU-intensive components, primarily constrained by processor speed and the number of concurrent searches they must handle. Memory and disk space should scale with user concurrency and search load, but CPU capability remains the baseline requirement. While 128 GB RAM (Option C) is suitable for high-demand or Enterprise Security (ES) deployments, it exceeds the minimum hardware specification for general distributed search environments.

Splunk no longer supports 32-bit architectures (Option B). While a 1Gb Ethernet NIC (Option A) is common, it is not part of the minimum computational specification required by Splunk for search heads. The critical specification is processor capability — two physical cores or equivalent.

References (Splunk Enterprise Documentation):

• Splunk Enterprise Capacity Planning Manual – Hardware and Performance Guidelines

• Search Head Sizing and System Requirements

• Distributed Deployment Manual – Recommended System Specifications

• Splunk Hardware and Performance Tuning Guide

To resync a stale KV Store member in a search head cluster, you need to stop the search head that has the stale KV Store member, run the command splunk clean kvstore --local, and then restart the search head. This triggers the initial synchronization from other KV Store members12.

The command splunk resync kvstore [-source sourceId] is used to resync the entire KV Store cluster from one of the members, not a single member. This command can only be invoked from the node that is operating as search head cluster captain2.

The command splunk clean eventdata -local is used to delete all indexed data from a standalone indexer or a cluster peer node, not to resync the KV Store3.

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

Two indexers clustered is the recommended deployment for a customer who plans to ingest 600 GB of data per day into Splunk, has six concurrent users, and wants high data availability and high search performance. This deployment will provide enough indexing capacity and search concurrency for the customer’s needs, while also ensuring data replication and searchability across the cluster. The customer can also save on the hardware cost by using only two indexers. Two indexers not in a cluster will not provide high data availability, as there is no data replication or failover. Three indexers not in a cluster will provide more indexing capacity and search concurrency, but also more hardware cost and no data availability. The customer’s data retention period, number of long searches, or volume of saved/scheduled searches are not relevant for determining the number of indexers. For more information, see [Reference hardware] and [About indexer clusters and index replication] in the Splunk documentation.

Comprehensive and Detailed Explanation (From Splunk Enterprise Documentation)Splunk’s multisite clustering documentation describes that search affinity is controlled by the site attribute in server.conf on the search head. Splunk explicitly states that assigning site=site0 on a search head removes site affinity, causing the search head to treat all sites as equal and search remotely as needed. The documentation describes site0 as the special value that disables local-site preference and forces the system to behave like a single-site cluster.

The customer wants each site’s search head to pull results only from its local site. This behavior works only if the search head’s site value matches the local site name (e.g., site1 or site2). By setting it to site0, all locality restrictions are removed, which prevents the desired reduction of network traffic.

The site search factor options (B and D) affect replication and searchable copy placement on indexers, not search head behavior. The number of indexers per site (C) also does not disable search affinity. Therefore only option A disables local-only searching.