Are you ready to become a Splunk Enterprise Certified Architect and master the design, deployment, and scaling of Splunk environments?

This course is designed to help you prepare for the SPLK-2002 certification, one of the most advanced and prestigious certifications offered by Splunk. It focuses on equipping you with the skills, confidence, and exam strategies necessary to pass the exam and operate as a true Splunk architect in real-world enterprise environments.

Through a series of advanced-level practice exams, you'll simulate the real test experience and gain clarity on complex topics such as indexer and search head clustering, data lifecycle management, high availability, distributed search architecture, and performance tuning. Each question is carefully crafted to match the difficulty and style of the official exam — with detailed explanations provided for every answer to help you understand the "why," not just the "what."

Whether you’re an experienced Splunk admin looking to move up, a consultant supporting large-scale deployments, or a DevOps/IT professional managing enterprise log data, this course will bridge the gap between day-to-day admin work and enterprise-level design and deployment.

What You’ll Gain:

• Realistic practice exams aligned to the SPLK-2002 blueprint

• In-depth answer explanations to solidify your architectural knowledge

• Confidence in designing scalable, secure, and resilient Splunk environments

• An understanding of core enterprise features such as clustering, deployment server, and KV store

• Lifetime access and updates as the certification evolves

This course is your final step toward certification success and real-world Splunk architectural mastery.

Topics Covered in the Splunk Enterprise Certified Architect (SPLK-2002) Certification:

The certification validates advanced knowledge in designing and deploying enterprise-scale Splunk environments.

1. Splunk Deployment Design

• Planning distributed deployments

• Deployment topologies and best practices

• Capacity planning and data volume estimation

2. Indexer Clustering

• Single-site and multisite indexer clusters

• Cluster replication and search factors

• Peer node failure recovery

• Cluster master configuration and monitoring

3. Search Head Clustering

• SHC architecture and node roles

• Deployer configuration and bundle management

• Captain election and SHC scaling

• Troubleshooting SHC issues

4. Data Lifecycle Management

• Indexing performance and retention policies

• Hot, warm, cold, frozen buckets

• Archive strategies and thawed index recovery

5. Deployment Server & Forwarder Management

• Managing deployment apps and server classes

• Best practices for large-scale forwarder environments

• Troubleshooting deployment server communication

6. Security and Scaling Considerations

• Secure Splunk communications (SSL, certificates)

• Role-based access control (RBAC)

• Scaling strategies for search and indexing performance

7. KV Store and App Configuration

• KV store architecture and configuration

• When to use KV store vs. lookup files

• App deployment and lifecycle

8. Monitoring Console & Troubleshooting

• Using the MC for system health and performance tuning

• Interpreting health status and search job load

• Root cause analysis for cluster and performance issues