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Splunk SPLK-4001 Exam Syllabus Topics:

SectionWeightObjectives
Alerting on Metrics with Detectors10%- Detectors and Alerting
  • 1. Muting rules
    • 2. Create detectors from charts
      • 3. Clone and manage detectors
        • 4. Standalone detectors
          Metrics Concepts15%- Core Metrics Data Model
          • 1. Data resolution and rollups
            • 2. Types of metadata
              • 3. Splunk IM data model, metrics, MTS, datapoints
                • 4. Components of a datapoint
                  Monitor Using Built-in Content10%- Observability Navigation & Monitoring
                  • 1. Interact with built-in dashboards and content
                    • 2. Interpret charts using rollups and analytics functions
                      • 3. Use alerts and detectors
                        • 4. Cluster Analyzer troubleshooting
                          • 5. Kubernetes Navigator usage
                            Create Efficient Dashboards and Alerts10%- Dashboard Optimization
                            • 1. Dashboard instructions
                              • 2. Alert customization
                                • 3. Single-instance dashboards
                                  • 4. Data links configuration
                                    • 5. Troubleshooting charts and alerts
                                      • 6. Event overlays
                                        Get Metrics In with OpenTelemetry10%- OpenTelemetry Collector Deployment
                                        • 1. Edit configuration files
                                          • 2. Troubleshooting common errors
                                            • 3. Configure the OTel Collector
                                              • 4. General OpenTelemetry concepts
                                                • 5. Deploy the OTel Collector on Linux
                                                  Detectors for Common Use Cases15%- Advanced Detector Scenarios
                                                  • 1. Cyclic pattern monitoring
                                                    • 2. Large-scale monitoring
                                                      • 3. Population monitoring
                                                        • 4. Troubleshoot detectors
                                                          • 5. Ephemeral infrastructure monitoring
                                                            • 6. Detect common issues
                                                              • 7. Non-flapping detectors
                                                                Introduction to Visualizing Metrics15%- Metrics Visualization
                                                                • 1. Dashboard groups
                                                                  • 2. Create charts and dashboards
                                                                    • 3. Search and visualize metrics
                                                                      • 4. Visualization types
                                                                        • 5. Apply rollups and analytics functions
                                                                          Finding Insights Using Analytics15%- Metrics Analytics
                                                                          • 1. Combining plots in charts
                                                                            • 2. Time-based comparisons
                                                                              • 3. Subset analysis of MTS signals
                                                                                • 4. Ratios and percentage trends
                                                                                  • 5. Moving and calendar window analytics
                                                                                    • 6. Aggregation across sources

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                                                                                      Splunk O11y Cloud Certified Metrics User Sample Questions (Q62-Q67):

                                                                                      NEW QUESTION # 62
                                                                                      A user wants to create an alert that only fires if CPU usage is above 90% AND memory usage is above 85% at the same time. What should they configure?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      Splunk Observability Cloud allows users to build detectors using signal expressions that combine multiple conditions (such as AND logic across two metrics), enabling alerts that trigger only when all specified conditions are met simultaneously.


                                                                                      NEW QUESTION # 63
                                                                                      What does the "Resource Running Out" detector condition type help predict?

                                                                                      Answer: B

                                                                                      Explanation:
                                                                                      The Resource Running Out condition uses trend analysis to predict when a resource, such as disk space, will be exhausted based on its current rate of consumption, enabling proactive alerts before an outage occurs.


                                                                                      NEW QUESTION # 64
                                                                                      An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds.
                                                                                      Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms.
                                                                                      How can the number of alerts be reduced?

                                                                                      Answer: D

                                                                                      Explanation:
                                                                                      Explanation
                                                                                      According to the Splunk O11y Cloud Certified Metrics User Track document1, trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes. This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.


                                                                                      NEW QUESTION # 65
                                                                                      Which of the following statements is true of detectors created from a chart on a custom dashboard?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      When you create a detector from a chart on a custom dashboard, the detector is automatically linked to the chart. This means that you can see the detector status and alerts on the chart, and you can access the detector settings from the chart menu. You can also unlink the detector from the chart if you want to.
                                                                                      Changes made to the chart do not affect the detector, and changes made to the detector do not affect the chart. The detector and the chart are independent entities that have their own settings and parameters. However, if you change the metric or dimension of the chart, you might lose the link to the detector.
                                                                                      The alerts generated by the detector will show up in the Alerts page, where you can view, manage, and acknowledge them. You can also see them on the team landing page if you assign the detector to a team.


                                                                                      NEW QUESTION # 66
                                                                                      When installing OpenTelemetry Collector, which error message is indicative that there is a misconfigured realm or access token?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      According to the web search results, a 401 (UNAUTHORIZED) error message is indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 401 (UNAUTHORIZED) error message means that the request was not authorized by the server due to invalid credentials. A realm is a parameter that specifies the scope of protection for a resource, such as a Splunk Observability Cloud endpoint. An access token is a credential that grants access to a resource, such as a Splunk Observability Cloud API. If the realm or the access token is misconfigured, the request to install OpenTelemetry Collector will be rejected by the server with a 401 (UNAUTHORIZED) error message.


                                                                                      NEW QUESTION # 67
                                                                                      ......

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