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Length: 90 minutes

Format: 85 multiple choice questions

Delivery: test is given by our testing partner Pearson VUE

- Introduction

- Describe a deployment plan

- Define the deployment process

- Project Requirements

- Identify critical information about environment- volume- users- and requirements

- Apply checklists and resources to aid in collecting requirements

- Infrastructure Planning: Index Design

- Understand design and size indexes

- Estimate non-smart store related storage requirements

- Identify relevant apps

- Infrastructure Planning: Resource Planning

- List sizing considerations

- Identify disk storage requirements

- Define hardware requirements for various Splunk components

- Describe ES considerations for sizing and topology

- Describe ITSI considerations for sizing and topology

- Describe security- privacy- and integrity measures

- Clustering Overview

- Identify non-smart store related storage and disk usage requirements

- Identify search head clustering requirements

- Forwarder and Deployment Best Practices 6%

- Identify best practices for forwarder tier design

- Understand configuration management for all Splunk components- using Splunk deployment tools

- Performance Monitoring and Tuning

- Use limits.conf to Improve performance

- Use indexes.conf to manage bucket size

- Tune props.conf

- Improve search performance

- Splunk Troubleshooting Methods and Tools

- Splunk diagnostic resources and tools

- Clarifying the Problem

- Identify Splunks internal log files

- Identify Splunks internal indexes

- Licensing and Crash Problems

- License issues

- Crash issues

- Configuration Problems

- Input issues

- Search Problems

- Search issues

- Job inspector

- Deployment Problems

- Forwarding issues

- Deployment server issues

- Large-scale Splunk Deployment Overview

- Identify Splunk server roles in clusters

- License Master configuration in a clustered environment

- Single-site Indexer Cluster

- Splunk single-site indexer cluster configuration

- Multisite Indexer Cluster

- Splunk multisite indexer cluster overview

- Multisite indexer cluster configuration

- Cluster migration and upgrade considerations

- Indexer Cluster Management and Administration

- Indexer cluster storage utilization options

- Peer offline and decommission

- Master app bundles

- Monitoring Console for indexer cluster environment

- Search Head Cluster

- Splunk search head cluster overview

- Search head cluster configuration

- Search Head Cluster Management and Administration

- Search head cluster deployer

- Captaincy transfer

- Search head member addition and decommissioning

- KV Store Collection and Lookup Management

- KV Store collection in Splunk clusters

- Splunk Deployment Methodology and Architecture

- Planning and Designing Splunk Environments:

- Understand Splunk deployment methodologies for small- medium- and large-scale environments.

- Design distributed architectures to handle high data volumes efficiently.

- Plan for redundancy- load balancing- and scalability.

- Indexers: Store and index data for search and analysis.

- Search Heads: Manage search requests and distribute them across indexers.

- Forwarders: Collect and forward data to indexers (e.g.- Universal Forwarder- Heavy Forwarder).

- Deployment Server: Manages configurations for forwarders and other Splunk components.

- Cluster Master: Oversees indexer clustering for replication and high availability.

- Distributed Deployment:

- Configure indexer and search head clustering for redundancy and performance.

- Implement high availability (HA) through failover mechanisms.

- Design scalable systems with horizontal scaling (adding more indexers or search heads).

- Terminologies:

- Indexer Clustering: Grouping indexers to replicate data for redundancy.

- Search Head Clustering: Grouping search heads for load balancing and HA.

- Replication Factor: Number of data copies maintained in an indexer cluster.

- Search Factor: Number of searchable data copies in an indexer cluster.

- Bucket: A storage unit for indexed data (hot- warm- cold- frozen).

- Data Ingestion and Indexing

- Data Inputs Configuration:

- Configure data inputs (e.g.- files- directories- network inputs- scripted inputs).

- Manage source types and ensure consistent event formatting.

- Handle data from various sources (syslog- HTTP Event Collector- etc.).

- Indexing Processes:

- Understand data parsing- indexing- and storage processes.

- Configure indexes for performance and retention policies.

- Optimize indexing pipelines for high-throughput environments.

- Data Integrity and Compression:

- Ensure data integrity during ingestion and indexing.

- Understand Splunks data compression (e.g.- rawdata and tsidx files).

- Estimate disk storage requirements (e.g.- rawdata ~15%- tsidx ~35% for syslog data).

- Source Type: Metadata defining how Splunk parses incoming data.

- Rawdata: Uncompressed event data stored in buckets.

- Tsidx: Time-series index files for efficient searching.

- Event Breaking: Process of splitting raw data into individual events.

- Hot/Warm/Cold Buckets: Stages of data storage based on age and access frequency.

- Search and Reporting

- Search Processing Language (SPL):

- Write and optimize complex SPL queries for searching and reporting.

- Use commands like stats- eval- rex- and lookup for data analysis.

- Knowledge Objects:

- Create and manage knowledge objects (e.g.- saved searches- reports- dashboards- field extractions).

- Understand permissions and sharing of knowledge objects.

- Search Optimization:

- Optimize search performance in distributed environments.

- Configure search pipelines and limits (e.g.- limits.conf).

- Use data models and accelerated searches for faster results.

- Knowledge Objects: Reusable components like searches- dashboards- and lookups.

- Data Model: Structured dataset for pivoting and reporting.

- Accelerated Search: Pre-computed summaries for faster search results.

- Search Head: Component that executes searches and renders results.

- Security and User Management

- Authentication and Authorization:

- Configure user authentication (e.g.- LDAP- SAML- Splunk native).

- Manage roles- capabilities- and access controls.

- Data Security:

- Implement data encryption for Splunk Web- splunkd- and distributed search.

- Configure certificate authentication between forwarders and indexers.

- Audit and Compliance:

- Monitor audit trails for user activity and system changes.

- Ensure compliance with security standards.

- Role: A set of permissions assigned to users.

- Capability: Specific actions a role can perform (e.g.- run searches- edit indexes).

- Splunkd: The core Splunk daemon handling indexing and search.

- KV Store: Key-value store for storing application data.

- Clustering and High Availability

- Indexer Clustering:

- Configure replication and search factors for data redundancy.

- Manage bucket replication and recovery.

- Search Head Clustering:

- Set up search head clusters for load balancing and HA.

- Use splunk apply shcluster-bundle and splunk resync shcluster-replicated-config for configuration synchronization.

- High Availability:

- Ensure continuous availability through failover and redundancy.

- Increase replication factor for searchable data HA.

- Cluster Master: Manages indexer cluster operations.

- Peer Node: An indexer in a cluster.

- Search Head Cluster: Group of search heads for distributed search.

- Raft: Consensus algorithm for search head clustering.

- Performance Tuning and Troubleshooting

- Performance Optimization:

- Increase parallel ingestion pipelines (server.conf) for indexing performance.

- Adjust hot bucket limits (indexes.conf) and search concurrency (limits.conf).

- Monitor system resources (CPU- memory- IOPS) for bottlenecks.

- Troubleshooting:

- Diagnose connectivity issues using tools like tcpdump and splunk btool.

- Analyze splunkd.log for deployment server issues.

- Resolve inconsistent event formatting due to misconfigured forwarders or source types.

- IOPS: Input/Output Operations Per Second- a measure of disk performance.

- Splunk Btool: Command-line tool for configuration validation.

- KV Store: Used for storing and retrieving configuration data.

- Monitoring Console: Splunks built-in tool for monitoring deployment health.

- Integration with Third-Party Systems

- Third-Party Integration:

- Integrate Splunk with Hadoop for searching HDFS data.

- Configure Splunk to work with external systems via APIs or add-ons.

- Data Sharing:

- Enable Splunk to share data with external applications.

- Use Splunks REST API for programmatic access.

- HDFS: Hadoop Distributed File System.

- REST API: Splunks interface for external integrations.

- Add-on: Modular component for integrating with specific data sources.

- Forwarder: Collects and sends data to indexers (Universal- Heavy- Cloud).

- Indexer: Processes and stores data for searching.

- Search Head: Manages search queries and user interfaces.

- Cluster Master: Coordinates indexer clustering.

- Replication Factor: Number of data copies in an indexer cluster.

- Search Factor: Number of searchable data copies.

- Bucket: Data storage unit (hot- warm- cold- frozen).

- Source Type: Metadata for parsing data.

- Rawdata: Uncompressed event data.

- Tsidx: Time-series index for efficient searches.

- Knowledge Objects: Reusable components like searches and dashboards.

- Data Model: Structured dataset for reporting.

- KV Store: Key-value storage for configurations.

- Splunkd: Core Splunk service.

- Btool: Tool for troubleshooting configurations.

- IOPS: Disk performance metric.

- HDFS: Hadoop file system for big data.

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SPLK-2002 PDF MCQs

PDF Questions and Answers	: 1006 (Complete Set)
File Format	: PDF
Latest Update	: March 17, 2026
Files Delivery	: Instant (5 to 10 min.)
Compatibility	: All Desktop and Mobile Devices
Delivery Method	: get Account
Sample Download	: SPLK-2002 test PDF

The SPLK-2002 test is designed to test the knowledge and skills of professionals seeking to become certified as a Splunk Enterprise Certified Architect. This certification validates the ability to design and implement advanced Splunk deployments for large-scale organizations, including the ability to plan, implement, and manage complex Splunk environments. The test is designed for IT professionals with extensive experience in designing and deploying Splunk solutions, including Splunk Enterprise Security and Splunk IT Service Intelligence.

Following sections are covered in Q&As;

The test is divided into two parts: the written test and the lab exam. The written test consists of 100 multiple-choice questions and has a time limit of two hours. The lab test is a hands-on, practical test that requires the candidate to design and implement a complex Splunk deployment. The lab test has a time limit of four hours.

Preparing for the SPLK-2002 exam requires not only understanding the test subjects but also practicing with realistic exam-style questions. Our Splunk Enterprise Certified Architect test questions and practice tests help candidates review key concepts and familiarize themselves with the format and difficulty of exams.

At Killexams.com, our team works to maintain up-to-date practice content. We continuously review and refine our question sets and explanations to cover the latest relevant syllabus areas and help learners strengthen their understanding of core subjects before the official exam. practice exams allow you to identify areas where you need improvement by measuring your readiness and provide you exam questions to polish those areas.

By using our SPLK-2002 test PDF and Test Engine, you can practice with a structured set of questions and answers that are representative of the kinds of items you encounter on the exam. Wherever possible, content includes detailed explanations to clarify reasoning and support deeper learning. To prepare for the SPLK-2002 exam, candidates should have a thorough understanding of Splunk Enterprise, including its architecture, deployment, configuration, and administration. They should also have experience with advanced Splunk subjects such as distributed search, advanced alerting, and custom visualization. Candidates can prepare for the test by taking Splunk training courses and using study materials such as books, online resources, and practice exams.

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Online Test Engine Questions	: 1006
Testing Limit	: Unlimited
Access Type	: Online
Latest Update	: March 17, 2026
Access Activation	: Instant (5 to 10 min.)
Supported OS	: Mac, Windows, Android, iPhone / iPad, Linux
Delivery Method	: Username/Password

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Desktop Test Engine Questions	: 1006
Software Version	: 3.0.9
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