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Splunk SPLK-2002 (Splunk Enterprise Certified Architect) Certification Exam is an advanced certification exam designed for IT professionals who are looking to validate their skills and knowledge in using Splunk Enterprise for managing and analyzing large and complex data sets. SPLK-2002 Exam is designed to test the candidate's ability to design, deploy, and manage Splunk Enterprise environments, as well as troubleshoot and optimize them for maximum performance.
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Splunk SPLK-2002 exam covers a range of topics related to Splunk Enterprise Certified Architect. It tests your knowledge of Splunk architecture, data inputs, data management, and data analysis. In addition, it covers topics such as search language, configuration files, and Splunk apps. SPLK-2002 Exam is designed to test your ability to use Splunk to solve complex problems and make data-driven decisions.
NEW QUESTION # 67
(An admin removed and re-added search head cluster (SHC) members as part of patching the operating system. When trying to re-add the first member, a script reverted the SHC member to a previous backup, and the member refuses to join the cluster. What is the best approach to fix the member so that it can re-join?)
Answer: C
Explanation:
According to the Splunk Search Head Clustering Troubleshooting Guide, when a Search Head Cluster (SHC) member is reverted from a backup or experiences configuration drift (e.g., an outdated Raft state), it can fail to rejoin the cluster due to inconsistent Raft metadata. The Raft database stores the SHC's internal consensus and replication state, including knowledge object synchronization, captain election history, and peer membership information.
If this Raft metadata becomes corrupted or outdated (as in the scenario where a node is restored from backup), the recommended and Splunk-supported remediation is to clean the Raft metadata using:
splunk clean raft
This command resets the node's local Raft state so it can re-synchronize with the current SHC captain and rejoin the cluster cleanly.
The steps generally are:
* Stop the affected SHC member.
* Run splunk clean raft on that node.
* Restart Splunk.
* Verify that it successfully rejoins the SHC.
Deleting configuration stanzas or forcing re-addition (Options B and C) can lead to further inconsistency or data loss. Reviewing logs (Option A) helps diagnose issues but does not resolve Raft corruption.
References (Splunk Enterprise Documentation):
* Troubleshooting Raft Metadata Corruption in Search Head Clusters
* splunk clean raft Command Reference
* Search Head Clustering: Recovering from Backup and Membership Failures
* Splunk Enterprise Admin Manual - Raft Consensus and SHC Maintenance
NEW QUESTION # 68
Which Splunk cluster feature requires additional indexer storage?
Answer: D
Explanation:
Comprehensive and Detailed Explanation (From Splunk Enterprise Documentation)Splunk's documentation on summary indexing and data-model acceleration clarifies that summary data is stored as additional indexed data on the indexers. Summary indexing produces new events-aggregations, rollups, scheduled search outputs-and stores them in summary indexes. Splunk explains that these summaries accumulate over time and require additional bucket storage, retention considerations, and sizing adjustments.
The documentation for accelerated data models further confirms that acceleration summaries are stored alongside raw data on indexers, increasing disk usage proportional to the acceleration workload. This makes summary indexing the only listed feature that strictly increases indexer storage demand.
In contrast, Search Head Clustering replicates configuration and knowledge objects across search heads-not on indexers. Indexer Discovery affects forwarder behavior, not storage. Indexer Acknowledgement controls data-delivery guarantees but does not create extra indexed content.
Therefore, only Index Summarization (summary indexing) directly increases indexer storage requirements.
References:Splunk Summary Indexing Documentation; Splunk Data Model Acceleration Guidelines; Splunk Storage and Capacity Planning Documentation.
NEW QUESTION # 69
A Splunk user successfully extracted an ip address into a field called src_ip. Their colleague cannot see that field in their search results with events known to have src_ip. Which of the following may explain the problem? (Select all that apply.)
Answer: D
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/657187/map-command-field-not-being-evaluated.html
NEW QUESTION # 70
Which Splunk component is mandatory when implementing a search head cluster?
Answer: C
Explanation:
This is a mandatory Splunk component when implementing a search head cluster, as it is responsible for distributing the configuration updates and app bundles to the cluster members1. The deployer is a separate instance that communicates with the cluster manager and pushes the changes to the search heads1. The other options are not mandatory components for a search head cluster. Option A, Captain Server, is not a component, but a role that is dynamically assigned to one of the search heads in the cluster2. The captain coordinates the replication and search activities among the cluster members2. Option C, Cluster Manager, is a component for an indexer cluster, not a search head cluster3. The cluster manager manages the replication and search factors, and provides a web interface for monitoring and managing the indexer cluster3. Option D, RAFT Server, is not a component, but a protocol that is used by the search head cluster to elect the captain and maintain the cluster state4. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Use the deployer to distribute apps and configuration updates 2: About the captain 3: About the cluster manager 4: How a search head cluster works
NEW QUESTION # 71
Stakeholders have identified high availability for searchable data as their top priority. Which of the following best addresses this requirement?
Answer: A
Explanation:
Explanation
Increasing the search factor in the cluster will best address the requirement of high availability for searchable data. The search factor determines how many copies of searchable data are maintained by the cluster. A higher search factor means that more indexers can serve the data in case of a failure or a maintenance event.
Increasing the replication factor will improve the availability of raw data, but not searchable data. Increasing the number of search heads or CPUs on the indexers will improve the search performance, but not the availability of searchable data. For more information, see Replication factor and search factor in the Splunk documentation.
NEW QUESTION # 72
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