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Free SPLK-4001 Exam Braindumps (page: 4)

Page 3 of 14
PDF with 54 Questions

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?

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

Answer(s): B

Explanation:

The correct answer is B. Add a filter to narrow the scope of the measurement. A filter is a way to reduce the number of metric time series (MTS) that are displayed on a chart or used in a detector. A filter specifies one or more dimensions and values that the MTS must have in order to be included. For example, if you want to monitor the memory.free metric only for hosts that belong to a certain cluster, you can add a filter like cluster:my-cluster to the plot or detector. This will exclude any MTS that do not have the cluster dimension or have a different value for it. Adding a filter can help you avoid exceeding the plot cap, which is the maximum number of MTS that can be contained in a single plot. The plot cap is 100,000 by default, but it can be changed by contacting Splunk Support.
To learn more about how to use filters in Splunk Observability Cloud, you can refer to this documentation.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics
2: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#Plot-cap
3: https://docs.splunk.com/Observability/gdi/metrics/search.html



An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds. Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms.
How can the number of alerts be reduced?

  1. Adjust the threshold.
  2. Adjust the Trigger sensitivity. Duration set to 1 minute.
  3. Adjust the notification sensitivity. Duration set to 1 minute.
  4. Choose another signal.

Answer(s): B

Explanation:

According to the Splunk O11y Cloud Certified Metrics User Track document., trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes. This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.



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

  1. /opt/splunk/
  2. /etc/otel/collector/
  3. /etc/opentelemetry/
  4. /etc/system/default/

Answer(s): B

Explanation:

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 result., 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 documentation.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2:
https://docs.splunk.com/Observability/gdi/opentelemetry.html



Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

  1. Jitter
  2. Delay
  3. Lag
  4. Latency

Answer(s): C

Explanation:

According to the Splunk Observability Cloud documentation., lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.






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