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Splunk SPLK-4001 Exam Syllabus Topics:
| Topic | Details |
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| Topic 1 | - Introduction to Alerting on Metrics with Detectors: This section of the exam measures the skills of Operations Engineers and focuses on setting up and managing metric alerts using detectors. Candidates learn to create detectors from charts, clone and modify them, build standalone detectors, and configure muting rules to manage alert noise and response efficiency.
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| Topic 2 | - Get Metrics In with OpenTelemetry: This section of the exam measures the skills of Observability Engineers and focuses on configuring and managing OpenTelemetry (OTel) for data collection. It covers deploying the OTel Collector on Linux, editing configurations, troubleshooting common issues, and understanding general OpenTelemetry concepts necessary for integrating metrics efficiently.
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| Topic 3 | - Monitor Using Built-in Content: This section of the exam measures the skills of Site Reliability Engineers and focuses on utilizing Splunk built-in content for effective monitoring. It includes interpreting data in charts, subscribing to alerts, and using tools such as the Kubernetes Navigator, Cluster Analyzer, and pre-built dashboards to identify and resolve performance issues in nodes, pods, and containers.
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| Topic 4 | - Detectors for Common Use Cases: This section of the exam measures the skills of Monitoring Engineers and focuses on building and troubleshooting detectors for various real-world use cases. It includes creating detectors to monitor populations, prevent alert flapping, track cyclic patterns, handle large-scale monitoring, and ensure visibility in ephemeral infrastructure environments.
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| Topic 5 | - Finding Insights Using Analytics: This section of the exam measures the skills of Data Analysts and covers analytical methods for uncovering insights from metrics. It includes finding total values across sources, combining plots, performing time-based comparisons, analyzing trends through ratios and percentages, and applying analytic functions across moving or calendar time windows.
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| Topic 6 | - Introduction to Visualizing Metrics: This section of the exam measures the skills of Data Visualization Analysts and emphasizes creating, managing, and interpreting charts and dashboards. It includes searching for metrics, visualizing data with different chart types, applying rollups and analytic functions, and effectively understanding metric data within dashboards.
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| Topic 7 | - Create Efficient Dashboards and Alerts: This section of the exam measures the skills of Performance Monitoring Engineers and focuses on optimizing dashboards and alerts for clarity and responsiveness. It includes adding instructions to dashboards, creating single-instance dashboards, configuring local data links, customizing alert messages, and troubleshooting chart and alert issues.
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Reference: https://www.splunk.com/en_us/training/certification-track/splunk-o11y-cloud-certified-metrics-user.html
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