Splunk SPLK-4001 Exam Syllabus
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Before starting your SPLK-4001 exam preparation, it is recommended to review the complete Splunk O11y Cloud Certified Metrics User Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free SPLK-4001 questions. We also provide premium SPLK-4001 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
Splunk
Vendor
SPLK-4001
Exam Code
57
Total Questions
8
Total Exam Domains
Splunk SPLK-4001 Exam Objectives
| Section 1: 1.0 Get Metrics In with OpenTelemetry | |
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Weight: 10% |
1.1 Deploy the OTel Collector on Linux
1.2 Configure the OTel Collector 1.3 Edit the configuration 1.4 Troubleshooting common errors 1.5 General OpenTelemetry Concepts |
| Section 2: 2.0 Metrics Concepts | |
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Weight: 15% |
2.1 Data resolution, rollups
2.2 List the components of a datapoint 2.3 Define components of the Splunk IM Data Model, Metrics, MTS, datapoints 2.4 Discriminate between types of metadata |
| Section 3: 3.0 Monitor Using Built-in Content | |
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Weight: 10% |
3.1 Interact with data using built-in content
3.2 Correctly interpret data in charts based on rollups, analytic functions, and chart resolution 3.3 Subscribe to alerts 3.4 Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers 3.5 Use the Cluster Analyzer to pinpoint the root of some problems 3.6 Use built-in Kubernetes Dashboards to investigate and troubleshoot |
| Section 4: 4.0 Introduction to Visualizing Metrics | |
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Weight: 15% |
4.1 Create charts, dashboards
4.2 Search for metrics 4.3 Visualize a metric in a chart 4.4 Create dashboards and dashboard groups 4.5 Distinguish between different chart visualization types 4.6 Correctly apply rollups and analytic functions 4.7 Interpret data in charts |
| Section 5: 5.0 Introduction to Alerting on Metrics with Detectors | |
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Weight: 10% |
5.1 Create a detector from a chart
5.2 Clone a detector 5.3 Create a standalone detector 5.4 Create a muting rule |
| Section 6: 6.0 Create Efficient Dashboards and Alerts | |
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Weight: 10% |
6.1 Add instructions to dashboards
6.2 Create single-instance dashboards 6.3 View events on dashboards 6.4 Configure local data links 6.5 Customize alert messages 6.6 Troubleshoot charts and alerts (Impact of late datapoints; extrapolation policy, etc.) |
| Section 7: 7.0 Finding Insights Using Analytics | |
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Weight: 15% |
7.1 Finding total value across all sources
7.2 Combining plots in charts 7.3 View and alert on weekly, daily, or hourly comparisons 7.4 Use percentages and ratios to understand trends 7.5 Apply analytic functions over moving and calendar time windows 7.6 Apply analytics functions to a subset of MTS in a signal |
| Section 8: 8.0 Detectors for Common Use Cases | |
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Weight: 15% |
8.1 Identify common issues with detectors
8.2 Troubleshoot a detector 8.3 Create detectors to monitor populations 8.4 Create non-flapping detectors 8.5 Monitor metrics with cyclic patterns 8.6 Monitor a large number of sources 8.7 Monitor an ephemeral infrastructure |
| Info | |