The Splunk Enterprise Certified Architect (SPLK-2002) exam validates your ability to design, deploy, and optimize large-scale Splunk Enterprise environments. This certification is intended for experienced Splunk administrators and architects who need to demonstrate expertise in infrastructure planning, clustering, performance tuning, and troubleshooting. This resource page guides you through the exam syllabus, question formats, and effective study strategies to help you prepare with confidence.
Use this topic map to guide your study for Splunk SPLK-2002 (Splunk Enterprise Certified Architect) within the Splunk Enterprise Certified Architect path.
The SPLK-2002 exam measures both foundational knowledge and applied reasoning through multiple question types designed to reflect real-world architecture decisions and troubleshooting scenarios.
Questions progress in difficulty and emphasize practical application, requiring you to connect planning decisions to operational outcomes and troubleshooting methods to root cause analysis.
An effective study plan maps topics to weekly milestones, balances concept review with hands-on practice, and includes timed assessments to build exam readiness. Allocate roughly 4-6 weeks of consistent study, with more time devoted to clustering, resource planning, and troubleshooting topics that typically carry higher exam weight.
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Infrastructure planning (index design and resource planning), clustering concepts (single-site and multisite indexer clusters), and troubleshooting methods typically represent the largest portion of the exam. These areas directly impact production stability and performance, so they receive significant emphasis. Allocate extra study time to cluster configuration, management, and common failure scenarios.
Index design determines data distribution and search performance, while resource planning ensures sufficient capacity for indexing and replication across cluster peers. Your index structure (number of buckets, retention, partitioning) directly influences hardware requirements and cluster replication overhead. When designing a multisite cluster, you must balance index design choices against network bandwidth and replication factor to meet both performance and redundancy goals.
Focus first on deploying and managing a single-site indexer cluster, then advance to multisite cluster setup with site replication. Practice forwarder deployment using deployment clients, and work through rolling restart procedures. Finally, simulate troubleshooting scenarios such as peer failures, configuration conflicts, and search performance issues in a clustered environment.
Confusing replication factor with search factor in cluster design, misunderstanding multisite cluster replication rules, and overlooking licensing implications of large deployments are frequent errors. Additionally, many candidates underestimate the importance of systematic troubleshooting, jumping to solutions without clarifying the problem first. Review the troubleshooting workflow (Clarifying the Problem, Licensing and Crash Problems, Configuration Problems, etc.) to avoid these pitfalls.
Complete a full-length timed practice test to identify weak areas and practice pacing. Review explanations for any missed questions, especially in clustering and troubleshooting domains. Spend 2-3 days doing focused review on your weakest topics rather than re-reading entire sections. The day before the exam, do a light review of key definitions and cluster terminology, then rest well to arrive mentally fresh.
Which of the following commands is used to clear the KV store?
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, seeUse the CLI to manage the KV storein the Splunk documentation.
How many cluster managers are required for a multisite indexer cluster?
A multisite indexer cluster is a type of indexer cluster that spans multiple geographic locations or sites. A multisite indexer cluster requires only one cluster manager, also known as the master node, for the entire cluster. The cluster manager is responsible for coordinating the replication and search activities among the peer nodes across all sites. The cluster manager can reside in any site, but it must be accessible by all peer nodes and search heads in the cluster. Option C is the correct answer. Option A is incorrect because having two cluster managers for the entire cluster would introduce redundancy and complexity. Option B is incorrect because having one cluster manager for each site would create separate clusters, not a multisite cluster.Option D is incorrect because having two cluster managers for each site would be unnecessary and inefficient12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/Multisiteoverview2: https://docs.splunk.com/Documentation/Splunk/9.1.2/Indexer/Clustermanageroverview
When should multiple search pipelines be enabled?
Multiple search pipelines should be enabled only if CPU and memory resources are significantly under-utilized. Search pipelines are the processes that execute search commands and return results. Multiple search pipelines can improve the search performance by running concurrent searches in parallel. However, multiple search pipelines also consume more CPU and memory resources, which can affect the overall system performance. Therefore, multiple search pipelines should be enabled only if there are enough CPU and memory resources available, and if the system is not bottlenecked by disk I/O or network bandwidth.The number of concurrent users, the disk IOPS, and the Splunk Enterprise version are not relevant factors for enabling multiple search pipelines
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third-party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible. Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data.Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS
(If a license peer cannot communicate to a license manager for 72 hours or more, what will happen?)
Per the Splunk Enterprise Licensing Documentation, a license peer (such as an indexer or search head) must regularly communicate with its license manager to report data usage and verify license validity. Splunk allows a 72-hour grace period during which the peer continues operating normally even if communication with the license manager fails.
If this communication is not re-established within 72 hours, the peer enters a ''license violation'' state. In this state, the system blocks all search activities, including ad-hoc and scheduled searches, but continues to ingest and index data. Administrative and licensing-related searches may still run for diagnostic purposes, but user searches are restricted.
The intent of this design is to prevent prolonged unlicensed data ingestion while ensuring the environment remains compliant. The 72-hour rule is hard-coded in Splunk Enterprise and applies uniformly across license types (Enterprise or Distributed). This ensures consistent licensing enforcement across distributed deployments.
Warnings are generated during the grace period, but after 72 hours, searches are automatically blocked until the peer successfully reconnects to its license manager.
Reference (Splunk Enterprise Documentation):
* Managing Licenses in a Distributed Environment
* License Manager and Peer Communication Workflow
* Splunk License Enforcement and Violation Behavior
* Splunk Enterprise Admin Manual -- License Usage and Reporting Policies
