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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metrics Concepts | 15% | - List the components of a datapoint - Discriminate between types of metadata - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Data resolution, rollups |
| Topic 2: Introduction to Metric Visualization | 15% | - Analyze data in charts - Create charts and dashboards - Differentiate between several chart visualization types - Use rollups and analytical tools correctly - Create widgets and showcase groups - Look for metrics - Visualize a measure in a chart |
| Topic 3: Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Use the Cluster Analyzer to pinpoint the root of some problems - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Interact with data using built-in content - Subscribe to alerts |
| Topic 4: Intro to Alerting on Metrics using Detectors | 10% | - Clone an existing detector - Make a solo detector - Make a muting rule - Make the detector from a chart |
| Topic 5: Create Efficient Dashboards and Alerts | 10% | - Include instructions on interfaces - View dashboard happenings - Create single-instance dashboard panels - Configure personal information linkages |
| Topic 6: Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - General OpenTelemetry Concepts - Edit the configuration - Troubleshooting common errors - Deploy the OTel Collector on Linux |
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質問 # 99
For which types of charts can individual plot visualization be set?
正解：B
解説：
For line, area, and column charts, you can set the individual plot visualization to change the appearance of each plot in the chart. For example, you can change the color, shape, size, or style of the lines, areas, or columns. You can also change the rollup function, data resolution, or y-axis scale for each plot.
To set the individual plot visualization for line, area, and column charts, you need to select the chart from the Metric Finder, then click on Plot Chart Options and choose Individual Plot Visualization from the list of options. You can then customize each plot according to your preferences.
質問 # 100
What option for the Sum analytic function could be used to calculate the total number of packets received on a host across network interfaces?
正解：A
解説：
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.
質問 # 101
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?
正解：B
解説：
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on.
質問 # 102
For a high-resolution metric, what is the highest possible native resolution of the metric?
正解：A
解説：
Explanation
The correct answer is C. 1 second.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is data resolution and rollups. Data resolution refers to the granularity of the metric data points, and rollups are the process of aggregating data points over time to reduce the amount of data stored.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Data Resolution and Rollups, which explains that Splunk Observability Cloud collects high-resolution metrics at 1-second intervals by default, and then applies rollups to reduce the data volume over time. The document also provides a table that shows the different rollup intervals and retention periods for different resolutions.
Therefore, based on these documents, we can conclude that for a high-resolution metric, the highest possible native resolution of the metric is 1 second.
質問 # 103
Which component of the OpenTelemetry Collector allows for the modification of metadata?
正解：C
解説：
The component of the OpenTelemetry Collector that allows for the modification of metadata is A. Processors.
Processors are components that can modify the telemetry data before sending it to exporters or other components. Processors can perform various transformations on metrics, traces, and logs, such as filtering, adding, deleting, or updating attributes, labels, or resources. Processors can also enrich the telemetry data with additional metadata from various sources, such as Kubernetes, environment variables, or system information1 For example, one of the processors that can modify metadata is the attributes processor. This processor can update, insert, delete, or replace existing attributes on metrics or traces. Attributes are key-value pairs that provide additional information about the telemetry data, such as the service name, the host name, or the span kind2 Another example is the resource processor. This processor can modify resource attributes on metrics or traces. Resource attributes are key-value pairs that describe the entity that produced the telemetry data, such as the cloud provider, the region, or the instance type3 To learn more about how to use processors in the OpenTelemetry Collector, you can refer to this documentation1.
1: https://opentelemetry.io/docs/collector/configuration/#processors 2: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/attributesprocessor 3: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourceprocessor
質問 # 104
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