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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Configure personal information linkages - Include instructions on interfaces - Create single-instance dashboard panels |
| Topic 2: Metrics Concepts | 15% | - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint - Discriminate between types of metadata |
| Topic 3: Introduction to Metric Visualization | 15% | - Create charts and dashboards - Use rollups and analytical tools correctly - Create widgets and showcase groups - Visualize a measure in a chart - Analyze data in charts - Differentiate between several chart visualization types - Look for metrics |
| Topic 4: Monitor Using Built-in Content | 10% | - Subscribe to alerts - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Interact with data using built-in content - Use the Cluster Analyzer to pinpoint the root of some problems |
| Topic 5: Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Make a muting rule - Clone an existing detector - Make the detector from a chart |
| Topic 6: Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - Deploy the OTel Collector on Linux - Troubleshooting common errors - General OpenTelemetry Concepts - Edit the configuration |
>> SPLK-4001 Exam Actual Questions <<
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NEW QUESTION # 61
A DevOps engineer wants to determine if the latency their application experiences is growing fester after a new software release a week ago. They have already created two plot lines, A and B, that represent the current latency and the latency a week ago, respectively. How can the engineer use these two plot lines to determine the rate of change in latency?
Answer: B
Explanation:
Explanation
The correct answer is C. Create a plot C using the formula (A/B-l) and add a scale: 100 function to express the rate of change as a percentage.
To calculate the rate of change in latency, you need to compare the current latency (plot A) with the latency a week ago (plot B). One way to do this is to use the formula (A/B-l), which gives you the ratio of the current latency to the previous latency minus one. This ratio represents how much the current latency has increased or decreased relative to the previous latency. For example, if the current latency is 200 ms and the previous latency is 100 ms, then the ratio is (200/100-l) = 1, which means the current latency is 100% higher than the previous latency1 To express the rate of change as a percentage, you need to multiply the ratio by 100. You can do this by adding a scale: 100 function to the formula. This function scales the values of the plot by a factor of 100. For example, if the ratio is 1, then the scaled value is 100%2 To create a plot C using the formula (A/B-l) and add a scale: 100 function, you need to follow these steps:
Select plot A and plot B from the Metric Finder.
Click on Add Analytics and choose Formula from the list of functions.
In the Formula window, enter (A/B-l) as the formula and click Apply.
Click on Add Analytics again and choose Scale from the list of functions.
In the Scale window, enter 100 as the factor and click Apply.
You should see a new plot C that shows the rate of change in latency as a percentage.
To learn more about how to use formulas and scale functions in Splunk Observability Cloud, you can refer to these documentations34.
1: https://www.mathsisfun.com/numbers/percentage-change.html 2:
https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Scale 3:
https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Formula 4:
https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Scale
NEW QUESTION # 62
With exceptions for transformations or timeshifts, at what resolution do detectors operate?
Answer: B
Explanation:
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.
NEW QUESTION # 63
When a user selects the "New detector from chart" feature, which of the following configurations is predefined in the detector?
Answer: C
Explanation:
The "New detector from chart" feature automatically predefines the alert signal in the detector based on the metric or data visualized in the chart. Other configurations like conditions, recipients, and alert settings need to be set manually.
NEW QUESTION # 64
Which of the following is optional, but highly recommended to include in a datapoint?
Answer: D
Explanation:
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/Observability/gdi/metrics/metrics.html#Metric-types 2:
https://docs.splunk.com/Observability/gdi/metrics/metrics.html
NEW QUESTION # 65
A customer is experiencing an issue where their detector is not sending email notifications but is generating alerts within the Splunk Observability UI. Which of the below is the root cause?
Answer: B
Explanation:
Explanation
The most likely root cause of the issue is D. The detector has a muting rule.
A muting rule is a way to temporarily stop a detector from sending notifications for certain alerts, without disabling the detector or changing its alert conditions. A muting rule can be useful when you want to avoid alert noise during planned maintenance, testing, or other situations where you expect the metrics to deviate from normal1 When a detector has a muting rule, it will still generate alerts within the Splunk Observability UI, but it will not send email notifications or any other types of notifications that you have configured for the detector. You can see if a detector has a muting rule by looking at the Muting Rules tab on the detector page. You can also create, edit, or delete muting rules from there1 To learn more about how to use muting rules in Splunk Observability Cloud, you can refer to this documentation1.
NEW QUESTION # 66
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