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Splunk SPLK-2002 Exam Questions
- Topic 1: Introduction: This section of the exam measures the skills of the Enterprise Solutions Architect and covers the foundational understanding of planning and executing a Splunk deployment. It introduces key concepts, including the definition of deployment plans and outlines the overall process.
- Topic 2: Project Requirements: This section evaluates the competencies of the Splunk Administrator and focuses on identifying environment-specific needs such as user volume and technical requirements. It includes the use of checklists and available resources to ensure all deployment needs are clearly understood.
- Topic 3: Infrastructure Planning: Index Design: Designed for the Enterprise Solutions Architect, this section addresses how to design and size indexes correctly. It also covers estimating storage requirements unrelated to smart store configurations and understanding relevant apps for deployment.
- Topic 4: Infrastructure Planning: Resource Planning: This domain assesses the expertise of the Enterprise Solutions Architect and deals with sizing considerations, hardware specifications, and storage needs for different Splunk components. It also considers security, privacy, and specialised sizing for apps like ES and ITSI.
- Topic 5: Clustering Overview: This section is intended for the Splunk Administrator and provides knowledge about search head clustering and related storage needs that are not smart store-specific. It introduces key concepts essential for managing clustered environments.
- Topic 6: Forwarder and Deployment Best Practices: Aimed at the Splunk Administrator, this section covers best practices for designing the forwarder tier and managing Splunk components using deployment tools. It emphasises effective configuration management.
- Topic 7: Performance Monitoring and Tuning: This section of the exam measures the skills of the Splunk Administrator and focuses on optimizing performance using configuration files such as limits.conf, indexes.conf, and props.conf. It also includes methods to improve search efficiency.
- Topic 8: Splunk Troubleshooting Methods and Tools: Designed for the Splunk Administrator, this domain provides understanding of available Splunk diagnostic tools and resources essential for identifying and resolving issues effectively.
- Topic 9: Clarifying the Problem: This section targets the Splunk Administrator and includes identifying relevant internal logs and indexes within Splunk. It supports accurate root cause analysis during troubleshooting.
- Topic 10: Licensing and Crash Problems: This section assesses the abilities of the Splunk Administrator to identify and resolve issues related to licensing limits and platform crashes during deployment and daily operations.
- Topic 11: Configuration Problems: This domain evaluates the Splunk Administrator's understanding of input configuration issues that may arise during deployment or log collection stages.
- Topic 12: Search Problems: Aimed at the Splunk Administrator, this section explores challenges related to search performance and introduces the Job Inspector tool to investigate query-related problems.
- Topic 13: Deployment Problems: This section focuses on the Splunk Administrator and includes diagnosing issues related to data forwarding and deployment server operations.
- Topic 14: Large-scale Splunk Deployment Overview: This domain measures the Enterprise Solutions Architect’s ability to design and manage Splunk server roles and configure license masters effectively in clustered environments.
- Topic 15: Single-site Indexer Cluster: Intended for the Enterprise Solutions Architect, this section introduces the key aspects of configuring a Splunk single-site indexer cluster, covering essential operational settings.
- Topic 16: Multisite Indexer Cluster: This domain is designed for the Enterprise Solutions Architect and provides knowledge of multisite cluster configurations, including upgrades, migration, and redundancy planning.
- Topic 17: Indexer Cluster Management and Administration: This section assesses the Splunk Administrator’s skills in managing indexer clusters, including monitoring, peer management, app bundle handling, and storage utilisation strategies.
- Topic 18: Search Head Cluster: Targeted at the Enterprise Solutions Architect, this domain explores the architecture and configuration of search head clusters, necessary for scaling searches across large deployments.
- Topic 19: Search Head Cluster Management and Administration: Designed for the Splunk Administrator, this section covers day-to-day operations such as managing the deployer, handling captaincy, and maintaining or removing search head members.
- Topic 20: KV Store Collection and Lookup Management: This final section measures skills of the Splunk Administrator in managing KV Store collections within clustered Splunk environments, supporting dynamic data storage and lookup functionalities.
Free Splunk SPLK-2002 Exam Actual Questions
Note: Premium Questions for SPLK-2002 were last updated On May. 25, 2026 (see below)
Which Splunk component is mandatory when implementing a search head cluster?
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 updates2: About the captain3: About the cluster manager4: How a search head cluster works
Users are asking the Splunk administrator to thaw recently-frozen buckets very frequently. What could the Splunk administrator do to reduce the need to thaw buckets?
The correct answer isA. Change frozenTimePeriodInSecs to a larger value.This is a possible solution to reduce the need to thaw buckets, as it increases the time period before a bucket is frozen and removed from the index1.The frozenTimePeriodInSecs attribute specifies the maximum age, in seconds, of the data that the index can contain1. By setting it to a larger value, the Splunk administrator can keep the data in the index for a longer time, and avoid having to thaw the buckets frequently. The other options are not effective solutions to reduce the need to thaw buckets.Option B, changing maxTotalDataSizeMB to a smaller value, would actually increase the need to thaw buckets, as it decreases the maximum size, in megabytes, of an index2. This means that the index would reach its size limit faster, and more buckets would be frozen and removed.Option C, changing maxHotSpanSecs to a larger value, would not affect the need to thaw buckets, as it only changes the maximum lifetime, in seconds, of a hot bucket3. This means that the hot bucket would stay hot for a longer time, but it would not prevent the bucket from being frozen eventually.Option D, changing coldToFrozenDir to a different location, would not reduce the need to thaw buckets, as it only changes the destination directory for the frozen buckets4. This means that the buckets would still be frozen and removed from the index, but they would be stored in a different location. Therefore, option A is the correct answer, and options B, C, and D are incorrect.
1: Set a retirement and archiving policy2: Configure index size3: Bucket rotation and retention4: Archive indexed data
Which of the following should be included in a deployment plan?
A deployment plan should include business continuity and disaster recovery plans, current logging details and data source inventory, and current and future topology diagrams of the IT environment. These elements are essential for planning, designing, and implementing a Splunk deployment that meets the business and technical requirements. A comprehensive list of stakeholders, either direct or indirect, is not part of the deployment plan, but rather part of the project charter. For more information, seeDeployment planningin the Splunk documentation.
Which of the following are possible causes of a crash in Splunk? (select all that apply)
All of the options are possible causes of a crash in Splunk.According to the Splunk documentation1, incorrect ulimit settings can lead to file descriptor exhaustion, which can cause Splunk to crash or hang.Insufficient disk IOPS can also cause Splunk to crash or become unresponsive, as Splunk relies heavily on disk performance2.Insufficient memory can cause Splunk to run out of memory and crash, especially when running complex searches or handling large volumes of data3.Running out of disk space can cause Splunk to stop indexing data and crash, as Splunk needs enough disk space to store its data and logs4.
1: Configure ulimit settings for Splunk Enterprise2: Troubleshoot Splunk performance issues3: Troubleshoot memory usage4: Troubleshoot disk space issues
When designing the number and size of indexes, which of the following considerations should be applied?
When designing the number and size of indexes, the following considerations should be applied:
Expected daily ingest volumes: This is the amount of data that will be ingested and indexed by the Splunk platform per day. This affects the storage capacity, the indexing performance, and the license usage of the Splunk deployment.The number and size of indexes should be planned according to the expected daily ingest volumes, as well as the peak ingest volumes, to ensure that the Splunk deployment can handle the data load and meet the business requirements12.
Data retention time policies: This is the duration for which the data will be stored and searchable by the Splunk platform. This affects the storage capacity, the data availability, and the data compliance of the Splunk deployment.The number and size of indexes should be planned according to the data retention time policies, as well as the data lifecycle, to ensure that the Splunk deployment can retain the data for the desired period and meet the legal or regulatory obligations13.
Access controls: This is the mechanism for granting or restricting access to the data by the Splunk users or roles. This affects the data security, the data privacy, and the data governance of the Splunk deployment.The number and size of indexes should be planned according to the access controls, as well as the data sensitivity, to ensure that the Splunk deployment can protect the data from unauthorized or inappropriate access and meet the ethical or organizational standards14.
Option D is the correct answer because it reflects the most relevant and important considerations for designing the number and size of indexes.Option A is incorrect because the number of concurrent users is not a direct factor for designing the number and size of indexes, but rather a factor for designing the search head capacity and the search head clustering configuration5. Option B is incorrect because the number of installed apps is not a direct factor for designing the number and size of indexes, but rather a factor for designing the app compatibility and the app performance. Option C is incorrect because it omits the expected daily ingest volumes, which is a crucial factor for designing the number and size of indexes.
1:Splunk Validated Architectures2: [Indexer capacity planning]3: [Set a retirement and archiving policy for your indexes]4: [About securing Splunk Enterprise]5: [Search head capacity planning] : [App installation and management overview]
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