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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Metric Visualization | 15% | - Use rollups and analytical tools correctly - Analyze data in charts - Visualize a measure in a chart - Create charts and dashboards - Differentiate between several chart visualization types - Look for metrics - Create widgets and showcase groups |
| Topic 2: Monitor Using Built-in Content | 10% | - Subscribe to alerts - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Cluster Analyzer to pinpoint the root of some problems - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Interact with data using built-in content |
| Topic 3: Create Efficient Dashboards and Alerts | 10% | - Include instructions on interfaces - View dashboard happenings - Create single-instance dashboard panels - Configure personal information linkages |
| Topic 4: Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint - Data resolution, rollups - Discriminate between types of metadata |
| Topic 5: Get Metrics In with OpenTelemetry | 10% | - Deploy the OTel Collector on Linux - Troubleshooting common errors - Configure the OTel Collector - Edit the configuration - General OpenTelemetry Concepts |
| Topic 6: Intro to Alerting on Metrics using Detectors | 10% | - Make the detector from a chart - Make a muting rule - Make a solo detector - Clone an existing detector |
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23. Frage
A customer is experiencing an issue where their detector is not sending email notifications but is generating alerts within the Splunk Observability UI. Which of the below is the root cause?
Antwort: C
Begründung:
Explanation
The most likely root cause of the issue is D. The detector has a muting rule.
A muting rule is a way to temporarily stop a detector from sending notifications for certain alerts, without disabling the detector or changing its alert conditions. A muting rule can be useful when you want to avoid alert noise during planned maintenance, testing, or other situations where you expect the metrics to deviate from normal1 When a detector has a muting rule, it will still generate alerts within the Splunk Observability UI, but it will not send email notifications or any other types of notifications that you have configured for the detector. You can see if a detector has a muting rule by looking at the Muting Rules tab on the detector page. You can also create, edit, or delete muting rules from there1 To learn more about how to use muting rules in Splunk Observability Cloud, you can refer to this documentation1.
24. Frage
What option for the Sum analytic function could be used to calculate the total number of packets received on a host across network interfaces?
Antwort: B
Begründung:
The Sum analytic function with the aggregation option combines values across multiple matching time series, such as packet counts from all network interfaces on a host, to produce a total.
25. Frage
A customer wants to find the total number of transmission errors that occurred over a discrete period of time. Assuming that the metric type is Cumulative Counter, which of the following combinations of rollup and analytic function could be used to accomplish this?
Antwort: C
Begründung:
For a cumulative counter, the Delta rollup calculates the change in the counter value over each interval. Applying the Sum Transformation analytic function then adds those deltas together to get the total number of transmission errors over the selected time period.
26. Frage
What are the best practices for creating detectors? (select all that apply)
Antwort: A,B,C,D
Begründung:
The best practices for creating detectors are:
View data at highest resolution. This helps to avoid missing important signals or patterns in the data that could indicate anomalies or issues1 Have a consistent value. This means that the metric or dimension used for detection should have a clear and stable meaning across different sources, contexts, and time periods. For example, avoid using metrics that are affected by changes in configuration, sampling, or aggregation2 View detector in a chart. This helps to visualize the data and the detector logic, as well as to identify any false positives or negatives. It also allows to adjust the detector parameters and thresholds based on the data distribution and behavior3 Have a consistent type of measurement. This means that the metric or dimension used for detection should have the same unit and scale across different sources, contexts, and time periods. For example, avoid mixing bytes and bits, or seconds and milliseconds.
1: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#Best-practices-for-detectors
2: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#Best-practices-for-detectors
3: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#View-detector-in-a-chart
4: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#Best-practices-for-detectors
27. Frage
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)
Antwort: A,B,C
Begründung:
Explanation
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.
28. Frage
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