SPLK-4001 Exam Information and Outline
Splunk O11y Cloud Certified Metrics User
SPLK-4001 Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the official SPLK-4001 exam objectives. This course outline serves as your roadmap, breaking down exactly which technical domains and skills will be tested. By reviewing the syllabus, you can identify your strengths and focus your study time on the areas where you need the most improvement.
The information below reflects the latest 2026 course contents as defined by Splunk. We provide this detailed breakdown to help you align your preparation with the actual exam format, ensuring there are no surprises on test day. Use this outline as a checklist to track your progress as you move through our practice question banks.
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
- Get Metrics In with OpenTelemetry
- Deploy the OTel Collector on Linux
- Configure the OTel Collector
- Edit the configuration
- Troubleshooting common errors
- General OpenTelemetry Concepts
- Metrics Concepts
- Data resolution, rollups
- List the components of a datapoint
- Define components of the Splunk IM Data Model, Metrics, MTS, datapoints
- Discriminate between types of metadata
- Monitor Using Built-in Content
- Interact with data using built-in content
- Correctly interpret data in charts based on rollups, analytic functions, and chart resolution
- Subscribe to alerts
- Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers
- Use the Cluster Analyzer to pinpoint the root of some problems
- Use built-in Kubernetes Dashboards to investigate and troubleshoot
- Introduction to Visualizing Metrics
- Create charts, dashboards
- Search for metrics
- Visualize a metric in a chart
- Create dashboards and dashboard groups
- Distinguish between different chart visualization types
- Correctly apply rollups and analytic functions
- Interpret data in charts
- Introduction to Alerting on Metrics with Detectors
- Create a detector from a chart
- Clone a detector
- Create a standalone detector
- Create a muting rule
- Create Efficient Dashboards and Alerts
- Add instructions to dashboards
- Create single-instance dashboards
- View events on dashboards
- Configure local data links
- Customize alert messages
- Troubleshoot charts and alerts (Impact of late datapoints; extrapolation policy, etc.)
- Finding Insights Using Analytics
- Finding total value across all sources
- Combining plots in charts
- View and alert on weekly, daily, or hourly comparisons
- Use percentages and ratios to understand trends
- Apply analytic functions over moving and calendar time windows
- Apply analytics functions to a subset of MTS in a signal
- Detectors for Common Use Cases
- Identify common issues with detectors
- Troubleshoot a detector
- Create detectors to monitor populations
- Create non-flapping detectors
- Monitor metrics with cyclic patterns
- Monitor a large number of sources
- Monitor an ephemeral infrastructure