Splunk Core Certified User

Many SOC and IT operations teams already have Splunk, but only a few people know how to search it well. When those few people are busy, investigations slow down, dashboards go stale, and alerts get missed. This Beginner course gives the whole team a shared Splunk foundation and prepares them for the Splunk Core Certified User exam.

Role fit: Security analysts, SOC staff, and IT practitioners who need to work in Splunk quickly. It also suits newer team members moving into security or data roles. No prior Splunk experience is assumed.

Time investment: About 9.3 hours across 11 skills. Most teams can finish in two to three weeks at a few hours per week. The first skill, Welcome to Splunk, is available to preview, so Team Leads can review it before assigning the course.

Security operations and risk: The course presents searching as part of SOC and security decision-making. It covers SPL fundamentals, including commands such as table, rename, fields, dedup, and sort. These are the skills teams need to start answering operational questions from aggregated Splunk data, such as which accounts had successful logons and which source IPs were allowed traffic.

Change management: The course uses default Splunk settings and a shared, isolated lab dataset, so everyone works from the same starting point. The lab setup also identifies the external dataset used in the course for teams that want to compare practice work against a consistent source.

How CBT Nuggets supports the outcome: Virtual Labs let learners practice SPL searches without touching production systems. Playlists help Training Managers set the order of assigned skills, and Team Reporting shows IT Directors who has made progress toward certification.

SOC and IT operations teams use this training to turn Splunk from an installed tool into a working daily asset. Instead of relying on one go-to analyst for every query, your team practices real SPL searches against a realistic, isolated lab data set.

The course works through scenarios analysts will face on the job. Examples include filtering log events, counting allowed connections by source IP with stats, and sorting results to spot the noisiest hosts. From there, they turn those searches into reports, dashboards, and scheduled alerts.

• Faster triage: Analysts move from raw indexes to focused, field-based searches. They use commands like fields, dedup, and sort to cut through noise during an investigation.
• Visibility leaders can use: Teams build reports and dashboards from their searches. Findings become shared views for Team Leads and IT Directors, not one-off query results.
• Proactive monitoring: Scheduled reports and alerts let your team catch issues without someone running the same searches by hand.
• Richer context: Lookups, including geolocation data, add context to events. This supports compliance-focused searching across on-premises and cloud environments.

The course also explains how Splunk ingests data from different sources and why RAM, CPU, and storage affect search and analysis performance. That gives practitioners a shared vocabulary for talking about data ingestion and deployment trade-offs with the engineers who manage your Splunk environment.

Knowledge

• How Splunk organizes data into indexes, including the difference between visible indexes like main and internal underscore-prefixed indexes
• How Splunk can ingest and aggregate data from network and organizational sources
• How fields narrow search results and prepare data for statistics, reports, and dashboards
• Core SPL commands and when to use them, including fields, table, dedup, sort, top, rare, and stats
• How manual and automatic lookups enrich event data, including geolocation context from metadata
• How scheduled reports and alerts turn saved searches into ongoing monitoring

Ability

• Navigate Splunk settings, bring in data sources and source types, and check monitoring console resource usage
• Write and refine SPL searches against real source types, such as stream:dns and Windows event logs
• Use top to surface the most common values in event data
• Build stats queries, such as counting allowed traffic by source IP and sorting by count to spot outliers
• Create lookups and use field-based searches as the basis for reports and dashboards
• Schedule reports and configure alerts that support SOC monitoring and compliance work