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| Section | Weight | Objectives |
|---|
| Create Efficient Dashboards and Alerts | 10% | - Dashboard Optimization
- 1. Dashboard instructions
- 2. Alert customization
- 3. Troubleshooting charts and alerts
- 4. Event overlays
- 5. Data links configuration
- 6. Single-instance dashboards
|
| Finding Insights Using Analytics | 15% | - Metrics Analytics
- 1. Aggregation across sources
- 2. Time-based comparisons
- 3. Subset analysis of MTS signals
- 4. Combining plots in charts
- 5. Ratios and percentage trends
- 6. Moving and calendar window analytics
|
| Alerting on Metrics with Detectors | 10% | - Detectors and Alerting
- 1. Clone and manage detectors
- 2. Standalone detectors
- 3. Muting rules
- 4. Create detectors from charts
|
| Introduction to Visualizing Metrics | 15% | - Metrics Visualization
- 1. Create charts and dashboards
- 2. Visualization types
- 3. Apply rollups and analytics functions
- 4. Dashboard groups
- 5. Search and visualize metrics
|
| 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. Cluster Analyzer troubleshooting
- 4. Kubernetes Navigator usage
- 5. Use alerts and detectors
|
| Detectors for Common Use Cases | 15% | - Advanced Detector Scenarios
- 1. Large-scale monitoring
- 2. Cyclic pattern monitoring
- 3. Troubleshoot detectors
- 4. Non-flapping detectors
- 5. Ephemeral infrastructure monitoring
- 6. Population monitoring
- 7. Detect common issues
|
| Get Metrics In with OpenTelemetry | 10% | - OpenTelemetry Collector Deployment
- 1. Deploy the OTel Collector on Linux
- 2. Troubleshooting common errors
- 3. General OpenTelemetry concepts
- 4. Configure the OTel Collector
- 5. Edit configuration files
|
| Metrics Concepts | 15% | - Core Metrics Data Model
- 1. Types of metadata
- 2. Data resolution and rollups
- 3. Components of a datapoint
- 4. Splunk IM data model, metrics, MTS, datapoints
|
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Splunk O11y Cloud Certified Metrics User Sample Questions (Q35-Q40):
NEW QUESTION # 35
Which of the following statements about adding properties to MTS are true? (select all that apply)
- A. Properties can be set in the UI under Metric Metadata.
- B. Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension
- C. Properties are sent in with datapoints.
- D. Properties can be set via the API.
Answer: A,D
Explanation:
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud1. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA.
To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests2. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings3. Therefore, option A and D are correct.
NEW QUESTION # 36
A customer has a dashboard that tracks multiple performance metrics for hosts related to a production application. They want to create an alert based on an existing chart that shows them the p90 latency for a service of their application. What is the most efficient way to achieve this?
- A. Use the actions menu to create a new detector from a chart.
- B. Use the actions menu to create a new alert from a chart.
- C. Use the actions menu to create a new detector from a dashboard.
- D. Use the actions menu to create a new alert from a chart.
Answer: A
Explanation:
Creating a new detector from an existing chart allows the alert to leverage the same signals and analytic functions, such as p90 latency, efficiently without having to rebuild the logic manually.
NEW QUESTION # 37
A user wants to add a link to an existing dashboard from an alert. When they click the dimension value in the alert message, they are taken to the dashboard keeping the context. How can this be accomplished? (select all that apply)
- A. Add a link to the field.
- B. Build a global data link.
- C. Add the link to the alert message body.
- D. Add a link to the Runbook URL.
Answer: A,B
Explanation:
The possible ways to add a link to an existing dashboard from an alert are:
Build a global data link. A global data link is a feature that allows you to create a link from any dimension value in any chart or table to a dashboard of your choice. You can specify the source and target dashboards, the dimension name and value, and the query parameters to pass along. When you click on the dimension value in the alert message, you will be taken to the dashboard with the context preserved1 Add a link to the field. A field link is a feature that allows you to create a link from any field value in any search result or alert message to a dashboard of your choice. You can specify the field name and value, the dashboard name and ID, and the query parameters to pass along. When you click on the field value in the alert message, you will be taken to the dashboard with the context preserved2 Therefore, the correct answer is A and C.
To learn more about how to use global data links and field links in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Global-data-links 2: https://docs.splunk.com/Observability/gdi/metrics/search.html#Field-links
NEW QUESTION # 38
The alert recipients tab specifies where notification messages should be sent when alerts are triggered or cleared. Which of the below options can be used? (select all that apply)
- A. Send to email addresses.
- B. Invoke a webhook URL.
- C. Export to CSV.
- D. Send an SMS message.
Answer: A,B,D
Explanation:
The alert recipients tab specifies where notification messages should be sent when alerts are triggered or cleared. The options that can be used are:
Invoke a webhook URL. This option allows you to send a HTTP POST request to a custom URL that can perform various actions based on the alert information. For example, you can use a webhook to create a ticket in a service desk system, post a message to a chat channel, or trigger another workflow.
Send an SMS message. This option allows you to send a text message to one or more phone numbers when an alert is triggered or cleared. You can customize the message content and format using variables and templates.
Send to email addresses. This option allows you to send an email notification to one or more recipients when an alert is triggered or cleared. You can customize the email subject, body, and attachments using variables and templates. You can also include information from search results, the search job, and alert triggering in the email.
NEW QUESTION # 39
To refine a search for a metric a customer types host: test-*. What does this filter return?
- A. Every metric except those with a dimension of host and a value equal to test.
- B. Error
- C. Only metrics with a value of test- beginning with host.
- D. Only metrics with a dimension of host and a value beginning with test-.
Answer: D
Explanation:
This filter returns the metrics that have a host dimension that matches the pattern test-. For example, test-01, test-abc, test-xyz, etc. The asterisk () is a wildcard character that can match any string of characters.
NEW QUESTION # 40
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