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Question 30 - SPLK-4001 discussion

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Given that the metric demo. trans. count is being sent at a 10 second native resolution, which of the following is an accurate description of the data markers displayed in the chart below?

A.
Each data marker represents the average hourly rate of API calls.
Answers
A.
Each data marker represents the average hourly rate of API calls.
B.
Each data marker represents the 10 second delta between counter values.
Answers
B.
Each data marker represents the 10 second delta between counter values.
C.
Each data marker represents the average of the sum of datapoints over the last minute, averaged over the hour.
Answers
C.
Each data marker represents the average of the sum of datapoints over the last minute, averaged over the hour.
D.
Each data marker represents the sum of API calls in the hour leading up to the data marker.
Answers
D.
Each data marker represents the sum of API calls in the hour leading up to the data marker.
Suggested answer: D

Explanation:

The correct answer is D. Each data marker represents the sum of API calls in the hour leading up to the data marker.

The metric demo.trans.count is a cumulative counter metric, which means that it represents the total number of API calls since the start of the measurement. A cumulative counter metric can be used to measure the rate of change or the sum of events over a time period1

The chart below shows the metric demo.trans.count with a one-hour rollup and a line chart type. A rollup is a way to aggregate data points over a specified time interval, such as one hour, to reduce the number of data points displayed on a chart. A line chart type connects the data points with a line to show the trend of the metric over time2

Each data marker on the chart represents the sum of API calls in the hour leading up to the data marker. This is because the rollup function for cumulative counter metrics is sum by default, which means that it adds up all the data points in each time interval. For example, the data marker at 10:00 AM shows the sum of API calls from 9:00 AM to 10:00 AM3

To learn more about how to use metrics and charts in Splunk Observability Cloud, you can refer to these documentations123.

1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Metric-types 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Data-resolution-and-rollups-in-charts 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Rollup-functions-for-metric-types

asked 23/09/2024
Priya Ketkar
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