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| Section | Weight | Objectives |
|---|
| Get Metrics In with OpenTelemetry | 10% | - OpenTelemetry Collector Deployment
- 1. Troubleshooting common errors
- 2. General OpenTelemetry concepts
- 3. Deploy the OTel Collector on Linux
- 4. Edit configuration files
- 5. Configure the OTel Collector
|
| Alerting on Metrics with Detectors | 10% | - Detectors and Alerting
- 1. Muting rules
- 2. Clone and manage detectors
- 3. Create detectors from charts
- 4. Standalone detectors
|
| Finding Insights Using Analytics | 15% | - Metrics Analytics
- 1. Aggregation across sources
- 2. Ratios and percentage trends
- 3. Time-based comparisons
- 4. Combining plots in charts
- 5. Moving and calendar window analytics
- 6. Subset analysis of MTS signals
|
| Detectors for Common Use Cases | 15% | - Advanced Detector Scenarios
- 1. Non-flapping detectors
- 2. Detect common issues
- 3. Large-scale monitoring
- 4. Troubleshoot detectors
- 5. Cyclic pattern monitoring
- 6. Ephemeral infrastructure monitoring
- 7. Population monitoring
|
| Metrics Concepts | 15% | - Core Metrics Data Model
- 1. Data resolution and rollups
- 2. Types of metadata
- 3. Components of a datapoint
- 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. Kubernetes Navigator usage
- 3. Use alerts and detectors
- 4. Cluster Analyzer troubleshooting
- 5. Interact with built-in dashboards and content
|
| Create Efficient Dashboards and Alerts | 10% | - Dashboard Optimization
- 1. Troubleshooting charts and alerts
- 2. Alert customization
- 3. Single-instance dashboards
- 4. Data links configuration
- 5. Dashboard instructions
- 6. Event overlays
|
| Introduction to Visualizing Metrics | 15% | - Metrics Visualization
- 1. Search and visualize metrics
- 2. Visualization types
- 3. Apply rollups and analytics functions
- 4. Dashboard groups
- 5. Create charts and dashboards
|
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Splunk O11y Cloud Certified Metrics User Sample Questions (Q94-Q99):
NEW QUESTION # 94
In a chart where signal 'A' contains a metric's current value, and signal 'B' contains a historical value, which formula will allow a user to calculate the percent change in a metric's value from a previous time period?
- A. (A-B)*100/B
- B. A*100/B
- C. (A-B)/B
- D. (A-B)/100
Answer: A
Explanation:
Percent change is calculated by subtracting the historical value from the current value, dividing that difference by the historical value, and multiplying by 100 to express the result as a percentage.
NEW QUESTION # 95
Which chart type in Splunk Observability Cloud is best suited for visualizing the proportion of time a resource spends in different states?
- A. List chart
- B. Line chart
- C. Single value chart
- D. Heatmap
Answer: D
Explanation:
A Heatmap is well-suited for visualizing many time series at once and showing how values (such as states or utilization levels) are distributed across a large number of instances over time.
NEW QUESTION # 96
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?
- A. Make sure that data is coming in for the metric then save the chart.
- B. Save the chart to multiple dashboards.
- C. Create a new dashboard and save the chart.
- D. Save the chart to a dashboard.
Answer: D
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 # 97
An executive team wants a chart to show the number of transactions processed so far today.
What analytics function will achieve this?
- A. Maximum Transformation Moving Window
- B. Sum Transformation Calendar Window
- C. Timeshift (1d)
- D. Sum Transformation Moving Window
Answer: B
Explanation:
Sum Transformation with a Calendar Window calculates the accumulated total within a fixed calendar period, such as today. This produces a chart showing the number of transactions processed so far during the current day.
NEW QUESTION # 98
What information is needed to create a detector?
- A. Alert Status, Alert Condition, Alert Settings, Alert Meaning, Alert Recipients
- B. Alert Signal, Alert Condition, Alert Settings, Alert Message, Alert Recipients
- C. Alert Signal, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
- D. Alert Status, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
Answer: B
Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.
NEW QUESTION # 99
......
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