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TOP SPLK-4001 Reliable Test Vce - Trustable Splunk SPLK-4001 Exam Pass4sure: Spl

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TOP SPLK-4001 Reliable Test Vce - Trustable Splunk SPLK-4001 Exam Pass4sure: Spl

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q10-Q15):NEW QUESTION # 10
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 logging into the metrics receiver pipeline:
  • B. Adding logging into the metrics exporter pipeline:
  • C. Adding debug into the metrics exporter pipeline:
  • D. Adding debug into the metrics receiver pipeline:

Answer: A
Explanation:
Explanation
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

NEW QUESTION # 11
A customer operates a caching web proxy. They want to calculate the cache hit rate for their service. What is the best way to achieve this?
  • A. Timeshift and Bottom N
  • B. Timeshift and Top N
  • C. Chart Options and metadata
  • D. Percentages and ratios
Answer: D
Explanation:
Explanation
According to the Splunk O11y Cloud Certified Metrics User Track document1, percentages and ratios are useful for calculating the proportion of one metric to another, such as cache hits to cache misses, or successful requests to failed requests. You can use the percentage() or ratio() functions in SignalFlow to compute these values and display them in charts. For example, to calculate the cache hit rate for a service, you can use the following SignalFlow code:
percentage(counters("cache.hits"), counters("cache.misses"))
This will return the percentage of cache hits out of the total number of cache attempts. You can also use the ratio() function to get the same result, but as a decimal value instead of a percentage.
ratio(counters("cache.hits"), counters("cache.misses"))

NEW QUESTION # 12
Which of the following are ways to reduce flapping of a detector? (select all that apply)
  • A. Configure a duration or percent of duration for the alert.
  • B. Enable the anti-flap setting in the detector options menu.
  • C. Establish a reset threshold for the detector.
  • D. Apply a smoothing transformation (like a rolling mean) to the input data for the detector.
Answer: A,D
Explanation:
According to the Splunk Lantern article Resolving flapping detectors in Splunk Infrastructure Monitoring, flapping is a phenomenon where alerts fire and clear repeatedly in a short period of time, due to the signal fluctuating around the threshold value. To reduce flapping, the article suggests the following ways:
Configure a duration or percent of duration for the alert: This means that you require the signal to stay above or below the threshold for a certain amount of time or percentage of time before triggering an alert. This can help filter out noise and focus on more persistent issues.
Apply a smoothing transformation (like a rolling mean) to the input data for the detector: This means that you replace the original signal with the average of its last several values, where you can specify the window length. This can reduce the impact of a single extreme observation and make the signal less fluctuating.

NEW QUESTION # 13
Which of the following statements is true of detectors created from a chart on a custom dashboard?
  • A. Changes made to the detector affect the chart.
  • B. Changes made to the chart affect the detector.
  • C. The alerts will show up in the team landing page.
  • D. The detector is automatically linked to the chart.
Answer: D
Explanation:
Explanation
The correct answer is D. The detector is automatically linked to the chart.
When you create a detector from a chart on a custom dashboard, the detector is automatically linked to the chart. This means that you can see the detector status and alerts on the chart, and you can access the detector settings from the chart menu. You can also unlink the detector from the chart if you want to1 Changes made to the chart do not affect the detector, and changes made to the detector do not affect the chart.
The detector and the chart are independent entities that have their own settings and parameters. However, if you change the metric or dimension of the chart, you might lose the link to the detector1 The alerts generated by the detector will show up in the Alerts page, where you can view, manage, and acknowledge them. You can also see them on the team landing page if you assign the detector to a team2 To learn more about how to create and link detectors from charts on custom dashboards, you can refer to this documentation1.
1: https://docs.splunk.com/observab ... tors-to-charts.html 2:
https://docs.splunk.com/observab ... -manage-alerts.html

NEW QUESTION # 14
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard?
(select all that apply)
  • A. Heatmap
  • B. Line
  • C. List
  • D. Single Value
Answer: C,D
Explanation:
Explanation
The chart visualization types that are unaffected by changing the time picker on a dashboard are:
Single Value: A single value chart shows the current value of a metric or an expression. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart1 List: A list chart shows the values of a metric or an expression for each dimension value in a table format. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart2 Therefore, the correct answer is A and D.
To learn more about how to use different chart visualization types in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/Observab ... s.html#Single-value 2:
https://docs.splunk.com/Observab ... cs/charts.html#List 3:
https://docs.splunk.com/Observability/gdi/metrics/charts.html

NEW QUESTION # 15
......
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