Splunk Enterprise Certified Architect SPLK-2002 Reddit Questions

The Search Job Inspector can be used to expand the following sections: Search job properties and Optimization suggestions. The Search Job Inspector is a tool that provides detailed information about a search job, such as the search parameters, the search statistics, the search timeline, and the search log. The Search Job Inspector can be accessed by clicking the Job menu in the Search bar and selecting Inspect Job. The Search Job Inspector has several sections that can be expanded or collapsed by clicking the arrow icon next to the section name. The Search job properties section shows the basic information about the search job, such as the SID, the status, the duration, the disk usage, and the scan count. The Optimization suggestions section shows the suggestions for improving the search performance, such as using transforming commands, filtering events, or reducing fields. The Execution costs and Saved search history sections are not part of the Search Job Inspector, and they cannot be expanded. The Execution costs section is part of the Search Dashboard, which shows the relative costs of each search component, such as commands, lookups, or subsearches. The Saved search history section is part of the Saved Searches page, which shows the history of the saved searches that have been run by the user or by a schedule

The correct answer is C. Knowledge Object replication. This is a valid use case that a search head cluster addresses, as it ensures that all the search heads in the cluster have the same set of knowledge objects, such as saved searches, dashboards, reports, and alerts1. The search head cluster replicates the knowledge objects across the cluster members, and synchronizes any changes or updates1. This provides a consistent user experience and avoids data inconsistency or duplication1. The other options are not valid use cases that a search head cluster addresses. Option A, providing redundancy in the event a search peer fails, is not a use case for a search head cluster, but for an indexer cluster, which maintains multiple copies of the indexed data and can recover from indexer failures2. Option B, search affinity, is not a use case for a search head cluster, but for a multisite indexer cluster, which allows the search heads to preferentially search the data on the local site, rather than on a remote site3. Option D, increased Search Factor (SF), is not a use case for a search head cluster, but for an indexer cluster, which determines how many searchable copies of each bucket are maintained across the indexers4. Therefore, option C is the correct answer, and options A, B, and D are incorrect.

1: About search head clusters 2: About indexer clusters and index replication 3: Configure search affinity 4: Configure the search factor

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.

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