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Splunk SPLK-4001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Get Metrics In with OpenTelemetry10%- OpenTelemetry Collector Deployment
  • 1. General OpenTelemetry concepts
    • 2. Configure the OTel Collector
      • 3. Troubleshooting common errors
        • 4. Edit configuration files
          • 5. Deploy the OTel Collector on Linux
            Topic 2: Alerting on Metrics with Detectors10%- Detectors and Alerting
            • 1. Create detectors from charts
              • 2. Clone and manage detectors
                • 3. Standalone detectors
                  • 4. Muting rules
                    Topic 3: Monitor Using Built-in Content10%- Observability Navigation & Monitoring
                    • 1. Use alerts and detectors
                      • 2. Cluster Analyzer troubleshooting
                        • 3. Kubernetes Navigator usage
                          • 4. Interact with built-in dashboards and content
                            • 5. Interpret charts using rollups and analytics functions
                              Topic 4: Metrics Concepts15%- Core Metrics Data Model
                              • 1. Splunk IM data model, metrics, MTS, datapoints
                                • 2. Data resolution and rollups
                                  • 3. Types of metadata
                                    • 4. Components of a datapoint
                                      Topic 5: 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
                                                  Topic 6: Detectors for Common Use Cases15%- Advanced Detector Scenarios
                                                  • 1. Population monitoring
                                                    • 2. Detect common issues
                                                      • 3. Troubleshoot detectors
                                                        • 4. Large-scale monitoring
                                                          • 5. Non-flapping detectors
                                                            • 6. Ephemeral infrastructure monitoring
                                                              • 7. Cyclic pattern monitoring
                                                                Topic 7: Finding Insights Using Analytics15%- Metrics Analytics
                                                                • 1. Aggregation across sources
                                                                  • 2. Time-based comparisons
                                                                    • 3. Moving and calendar window analytics
                                                                      • 4. Ratios and percentage trends
                                                                        • 5. Combining plots in charts
                                                                          • 6. Subset analysis of MTS signals
                                                                            Topic 8: Introduction to Visualizing Metrics15%- Metrics Visualization
                                                                            • 1. Search and visualize metrics
                                                                              • 2. Create charts and dashboards
                                                                                • 3. Dashboard groups
                                                                                  • 4. Visualization types
                                                                                    • 5. Apply rollups and analytics functions

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                                                                                      Splunk O11y Cloud Certified Metrics User Sample Questions (Q40-Q45):

                                                                                      NEW QUESTION # 40
                                                                                      Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

                                                                                      Answer: D

                                                                                      Explanation:
                                                                                      Explanation
                                                                                      The correct answer is B. /etc/otel/collector/
                                                                                      According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.
                                                                                      To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.
                                                                                      1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2:
                                                                                      https://docs.splunk.com/Observability/gdi/opentelemetry.html


                                                                                      NEW QUESTION # 41
                                                                                      Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      Explanation
                                                                                      The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
                                                                                      According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
                                                                                      1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html


                                                                                      NEW QUESTION # 42
                                                                                      An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?

                                                                                      Answer: C

                                                                                      Explanation:
                                                                                      According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
                                                                                      Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.


                                                                                      NEW QUESTION # 43
                                                                                      The Sum Aggregation option for analytic functions does which of the following?

                                                                                      Answer: D

                                                                                      Explanation:
                                                                                      According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is analytic functions. Analytic functions are mathematical operations that can be applied to metrics to transform, aggregate, or analyze them.
                                                                                      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 Analytic Functions, which explains that analytic functions can be used to perform calculations on metrics, such as sum, average, min, max, count, etc. The document also provides examples of how to use analytic functions in charts and dashboards.
                                                                                      One of the analytic functions that can be used is Sum Aggregation, which calculates the sum of values present in the input time series across the entire environment or per group. The document gives an example of how to use Sum Aggregation to calculate the total CPU usage across all hosts in a group by using the following syntax:
                                                                                      sum(cpu.utilization) by hostgroup


                                                                                      NEW QUESTION # 44
                                                                                      What is the main benefit of using dashboard groups in Splunk Observability Cloud?

                                                                                      Answer: B

                                                                                      Explanation:
                                                                                      Dashboard groups let users organize multiple related dashboards together, making it easier to navigate and manage dashboards that pertain to the same team, service, or use case.


                                                                                      NEW QUESTION # 45
                                                                                      ......

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