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Splunk SPLK-4001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Finding Insights Using Analytics | 15% | - Metrics Analytics
- 1. Subset analysis of MTS signals
- 2. Time-based comparisons
- 3. Combining plots in charts
- 4. Aggregation across sources
- 5. Moving and calendar window analytics
- 6. Ratios and percentage trends
|
| Introduction to Visualizing Metrics | 15% | - Metrics Visualization
- 1. Create charts and dashboards
- 2. Apply rollups and analytics functions
- 3. Visualization types
- 4. Search and visualize metrics
- 5. Dashboard groups
|
| Detectors for Common Use Cases | 15% | - Advanced Detector Scenarios
- 1. Ephemeral infrastructure monitoring
- 2. Troubleshoot detectors
- 3. Cyclic pattern monitoring
- 4. Population monitoring
- 5. Non-flapping detectors
- 6. Detect common issues
- 7. Large-scale monitoring
|
| Get Metrics In with OpenTelemetry | 10% | - OpenTelemetry Collector Deployment
- 1. Configure the OTel Collector
- 2. Deploy the OTel Collector on Linux
- 3. Edit configuration files
- 4. General OpenTelemetry concepts
- 5. Troubleshooting common errors
|
| Alerting on Metrics with Detectors | 10% | - Detectors and Alerting
- 1. Standalone detectors
- 2. Muting rules
- 3. Create detectors from charts
- 4. Clone and manage detectors
|
| Create Efficient Dashboards and Alerts | 10% | - Dashboard Optimization
- 1. Single-instance dashboards
- 2. Data links configuration
- 3. Troubleshooting charts and alerts
- 4. Event overlays
- 5. Dashboard instructions
- 6. Alert customization
|
| Metrics Concepts | 15% | - Core Metrics Data Model
- 1. Data resolution and rollups
- 2. Components of a datapoint
- 3. Types of metadata
- 4. Splunk IM data model, metrics, MTS, datapoints
|
| Monitor Using Built-in Content | 10% | - Observability Navigation & Monitoring
- 1. Interpret charts using rollups and analytics functions
- 2. Interact with built-in dashboards and content
- 3. Use alerts and detectors
- 4. Kubernetes Navigator usage
- 5. Cluster Analyzer troubleshooting
|
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Splunk O11y Cloud Certified Metrics User 認定 SPLK-4001 試験問題 (Q34-Q39):
質問 # 34
What tool provides the ability to search metrics and their associated metadata within Splunk Observability Cloud?
- A. Usage Analytics
- B. Pipeline Automation
- C. Metric Finder
- D. Metric Explorer
正解:C
解説:
Metric Finder is used to search for metrics and view their associated metadata in Splunk Observability Cloud, making it the appropriate tool for locating available metrics and understanding their related dimensions or properties.
質問 # 35
Which action allows you to analyze data across different dimensions and perform calculations based on a set of rows?
- A. Visualize a metric in a chart
- B. Apply rollups and analytic functions
- C. Create dashboards and dashboard groups
- D. Interpret data in charts
正解:B
質問 # 36
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?
- A. Adjust the notification sensitivity. Duration set to 1 minute.
- B. Choose another signal.
- C. Adjust the threshold.
- D. Adjust the Trigger sensitivity. Duration set to 1 minute.
正解:D
解説:
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.
質問 # 37
An SRE creates an event feed chart in a dashboard that shows a list of events that meet criteria they specify. Which of the following should they include? (select all that apply)
- A. Events created when a detector clears an alert.
- B. Events created when a detector triggers an alert.
- C. Custom events that have been sent in from an external source.
- D. Random alerts from active detectors.
正解:A、B、C
解説:
According to the web search results1, an event feed chart is a type of chart that shows a list of events that meet criteria you specify. An event feed chart can display one or more event types depending on how you specify the criteria. The event types that you can include in an event feed chart are:
Custom events that have been sent in from an external source: These are events that you have created or received from a third-party service or tool, such as AWS CloudWatch, GitHub, Jenkins, or PagerDuty. You can send custom events to Splunk Observability Cloud using the API or the Event Ingest Service.
Events created when a detector triggers or clears an alert: These are events that are automatically generated by Splunk Observability Cloud when a detector evaluates a metric or dimension and finds that it meets the alert condition or returns to normal. You can create detectors to monitor and alert on various metrics and dimensions using the UI or the API.
Therefore, option A, B, and D are correct.
質問 # 38
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?
- A. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.
- B. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
- C. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.
- D. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
正解:C
質問 # 39
......
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