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SPLK-4001Jƥ & SPLK-4001}ץ
Posted at 1/29/2026 10:53:30
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Splunk O11y Cloud Certified Metrics User J SPLK-4001 ԇY} (Q47-Q52):| # 47
Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?
- A. /opt/splunk/
- B. /etc/system/default/
- C. /etc/opentelemetry/
- D. /etc/otel/collector/
⣺D
h
The correct answer is B. /etc/otel/collector/
According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.
To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.
1: https://docs.splunk.com/Observab ... l-linux-manual.html 2: https://docs.splunk.com/Observability/gdi/opentelemetry.html
| # 48
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?
- A. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
- B. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.
- C. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.
- D. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
⣺C
| # 49
Which of the following is optional, but highly recommended to include in a datapoint?
- A. Metric type
- B. Value
- C. Metric name
- D. Timestamp
⣺A
h
Explanation
The correct answer is D. Metric type.
A metric type is an optional, but highly recommended field that specifies the kind of measurement that a datapoint represents. For example, a metric type can be gauge, counter, cumulative counter, or histogram. A metric type helps Splunk Observability Cloud to interpret and display the data correctly1 To learn more about how to send metrics to Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observab ... s.html#Metric-types 2:
https://docs.splunk.com/Observability/gdi/metrics/metrics.html
| # 50
With exceptions for transformations or timeshifts, at what resolution do detectors operate?
- A. 10 seconds
- B. The resolution of the dashboard
- C. Native resolution
- D. The resolution of the chart
⣺C
h
According to the Splunk Observability Cloud documentation1, detectors operate at the native resolution of the metric or dimension that they monitor, with some exceptions for transformations or timeshifts. The native resolution is the frequency at which the data points are reported by the source. For example, if a metric is reported every 10 seconds, the detector will evaluate the metric every 10 seconds. The native resolution ensures that the detector uses the most granular and accurate data available for alerting.
| # 51
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?
- A. Adding debug into the metrics receiver pipeline:
![]() - B. Adding logging into the metrics exporter pipeline:
![]() - C. Adding logging into the metrics receiver pipeline:
![]() - D. Adding debug into the metrics exporter pipeline:
![]()
⣺C
h
The correct answer is B. Adding logging into the metrics receiver pipeline.
The logging exporter is a component that allows the OpenTelemetry Collector to send traces, metrics, and logs directly to the console. It can be used to diagnose and troubleshoot issues with telemetry received and processed by the Collector, or to obtain samples for other purposes1 To activate the logging exporter, you need to add it to the pipeline that you want to diagnose. In this case, since you are experiencing issues with a new receiver for metrics, you need to add the logging exporter to the metrics receiver pipeline. This will create a new plot that shows the metrics received by the Collector and any errors or warnings that might occur1 The image that you have sent with your question shows how to add the logging exporter to the metrics receiver pipeline. You can see that the exporters section of the metrics pipeline includes logging as one of the options. This means that the metrics received by any of the receivers listed in the receivers section will be sent to the logging exporter as well as to any other exporters listed2 To learn more about how to use the logging exporter in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observab ... gging-exporter.html 2: https://docs.splunk.com/Observab ... osed-endpoints.html
| # 52
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