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Splunk SPLK-4001 Exam Syllabus Topics:

SectionWeightObjectives
Monitor Using Built-in Content10%- Correctly interpret data in charts based on rollups, analytic functions, and chart resolution
- Subscribe to alerts
- Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers
- Interact with data using built-in content
- Use the Cluster Analyzer to pinpoint the root of some problems
Get Metrics In with OpenTelemetry10%- Troubleshooting common errors
- Edit the configuration
- General OpenTelemetry Concepts
- Configure the OTel Collector
- Deploy the OTel Collector on Linux
Create Efficient Dashboards and Alerts10%- Configure personal information linkages
- Include instructions on interfaces
- View dashboard happenings
- Create single-instance dashboard panels
Intro to Alerting on Metrics using Detectors10%- Make a muting rule
- Make a solo detector
- Make the detector from a chart
- Clone an existing detector
Introduction to Metric Visualization15%- Visualize a measure in a chart
- Analyze data in charts
- Create charts and dashboards
- Use rollups and analytical tools correctly
- Differentiate between several chart visualization types
- Look for metrics
- Create widgets and showcase groups
Metrics Concepts15%- List the components of a datapoint
- Data resolution, rollups
- Define components of the Splunk IM Data Model, Metrics, MTS, datapoints
- Discriminate between types of metadata

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q18-Q23):

NEW QUESTION # 18
A Software Engineer is troubleshooting an issue with memory utilization in their application. They released a new canary version to production and now want to determine if the average memory usage is lower for requests with the 'canary' version dimension. They've already opened the graph of memory utilization for their service.
How does the engineer see if the new release lowered average memory utilization?

Answer: D

Explanation:
The correct answer is C. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select 'version' from the Group By field.
This will create a new plot B that shows the average memory utilization for each version of the application. The engineer can then compare the values of plot B for the 'canary' and 'stable' versions to see if there is a significant difference.
To learn more about how to use analytics functions in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/analytics.html


NEW QUESTION # 19
A user wants to see related dashboards, runbooks, or external documentation directly from a chart. Which feature should they configure?

Answer: D

Explanation:
Data Links allow users to configure contextual links from charts or dashboards to external resources, such as runbooks, documentation, or related dashboards, streamlining the troubleshooting workflow.


NEW QUESTION # 20
To refine a search for a metric a customer types host: test-*. What does this filter return?

Answer: A

Explanation:
The correct answer is A. Only metrics with a dimension of host and a value beginning with test-.
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 characters1 To learn more about how to filter metrics in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2: https://docs.splunk.com/Observability/gdi/metrics/search.html


NEW QUESTION # 21
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

Answer: D

Explanation:
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 result. You can also see the agent and gateway configuration files in the same result for more details.


NEW QUESTION # 22
A user wants to reduce the cardinality of a metric before visualizing it on a chart. Which analytic function should be applied to combine multiple time series into a single time series?

Answer: C

Explanation:
Aggregation functions such as Sum combine multiple time series into a single time series by grouping across dimensions, effectively reducing cardinality for easier visualization and analysis.


NEW QUESTION # 23
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