Free Splunk O11y Cloud Certified Metrics User Exam SPLK-4001 Exam Practice Test

Which of the following statements is true of detectors created from a chart on a custom dashboard?

• Changes made to the chart affect the detector.
• Changes made to the detector affect the chart.
• The alerts will show up in the team landing page.
• The detector is automatically linked to the chart.

To refine a search for a metric a customer types host: test-*. What does this filter return?Only metrics with a dimension of host and a value beginning with test-.ErrorEvery metric except those with a dimension of host and a value equal to test.Only metrics with a value of test- beginning with host.

• 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

Changes to which type of metadata result in a new metric time series?DimensionsPropertiesSourcesTags

• Dimensions.
• Dimensions are metadata in the form of key-value pairs that are sent along with the metrics at the time of ingest. They provide additional information about the metric, such as the name of the host that sent the metric, or the location of the server. Along with the metric name, they uniquely identify a metric time series (MTS)1
• Changes to dimensions result in a new MTS, because they create a different combination of metric name and dimensions. For example, if you change the hostname dimension from host1 to host2, you will create a new MTS for the same metric name1
• Properties, sources, and tags are other types of metadata that can be applied to existing MTSes after ingest. They do not contribute to uniquely identify an MTS, and they do not create a new MTS when changed2
• To learn more about how to use metadata in Splunk Observability Cloud, you can refer to this documentation2.
• 1: https://docs.splunk.com/Observability/metrics-and-metadata/metrics.html#Dimensions 2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html

When writing a detector with a large number of MTS, such as memory. free in a deployment with 30,000 hosts, it is possible to exceed the cap of MTS that can be contained in a single plot. Which of the choices below would most likely reduce the number of MTS below the plot cap?

• Select the Sharded option when creating the plot.
• Add a filter to narrow the scope of the measurement.
• Add a restricted scope adjustment to the plot.
• When creating the plot, add a discriminator.

Which component of the OpenTelemetry Collector allows for the modification of metadata?ProcessorsPipelinesExportersReceivers

• 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

Which of the following are true about organization metrics? (select all that apply)

• Organization metrics give insights into system usage, system limits, data ingested and token quotas.
• Organization metrics count towards custom MTS limits.
• Organization metrics are included for free.
• A user can plot and alert on them like metrics they send to Splunk Observability Cloud.

Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?

• Maximum / Minimum
• Best/Worst
• Exclude / Include
• Top / Bottom

Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

• gRPC (4000), SignalFx (9943), Fluentd (6060)
• gRPC (6831), SignalFx (4317), Fluentd (9080)
• gRPC (4459), SignalFx (9166), Fluentd (8956)
• gRPC (4317), SignalFx (9080), Fluentd (8006)

A customer is experiencing issues getting metrics from a new receiver they have configured in the OpenTelemetry Collector. How would the customer go about troubleshooting further with the logging exporter?

• Adding debug into the metrics receiver pipeline:
• Adding logging into the metrics receiver pipeline:
• Adding logging into the metrics exporter pipeline:
• Adding debug into the metrics exporter pipeline:

Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

• /opt/splunk/
• /etc/otel/collector/
• /etc/opentelemetry/
• /etc/system/default/