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Splunk SPLK-4001 Exam Syllabus Topics:

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

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                                                                                      Splunk O11y Cloud Certified Metrics User Sample Questions (Q112-Q117):

                                                                                      NEW QUESTION # 112
                                                                                      Which component of the OTel Collector is responsible for receiving telemetry data from instrumented applications?

                                                                                      Answer: B


                                                                                      NEW QUESTION # 113
                                                                                      A user configures a detector with a "Static Threshold" alert condition. What must they define for this condition to trigger correctly?

                                                                                      Answer: D

                                                                                      Explanation:
                                                                                      A Static Threshold condition requires the user to specify a fixed threshold value and how long the signal must remain above or below that value before the detector triggers an alert.


                                                                                      NEW QUESTION # 114
                                                                                      What is the highest resolution of data that can be stored in Splunk Observability Cloud?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      Splunk Observability Cloud supports high-resolution metric data with a granularity of 10 milliseconds, allowing for very fine-grained observation and analysis of rapidly changing metrics.


                                                                                      NEW QUESTION # 115
                                                                                      Clicking a metric name from the results in metric finder displays the metric in Chart Builder. What action needs to be taken in order to save the chart created in the UI?

                                                                                      Answer: A

                                                                                      Explanation:
                                                                                      According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder1. Chart Builder is a tool that allows you to create and customize charts using metrics, dimensions, and analytics functions2. To save the chart created in the UI, you need to do the following steps:
                                                                                      Click the Save button on the top right corner of the Chart Builder. This will open a dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.
                                                                                      Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the chart.
                                                                                      Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon. A dashboard is a collection of charts that display metrics and events for your services or hosts3. You can organize and share dashboards with other users in your organization using dashboard groups3.
                                                                                      Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view. You can also access your saved chart from the Dashboards menu on the left navigation bar.


                                                                                      NEW QUESTION # 116
                                                                                      For a high-resolution metric, what is the highest possible native resolution of the metric?

                                                                                      Answer: A

                                                                                      Explanation:
                                                                                      The correct answer is C. 1 second.
                                                                                      According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is data resolution and rollups. Data resolution refers to the granularity of the metric data points, and rollups are the process of aggregating data points over time to reduce the amount of data stored.
                                                                                      The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
                                                                                      In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Data Resolution and Rollups, which explains that Splunk Observability Cloud collects high-resolution metrics at 1-second intervals by default, and then applies rollups to reduce the data volume over time. The document also provides a table that shows the different rollup intervals and retention periods for different resolutions.
                                                                                      Therefore, based on these documents, we can conclude that for a high-resolution metric, the highest possible native resolution of the metric is 1 second.


                                                                                      NEW QUESTION # 117
                                                                                      ......

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