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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor Using Built-in Content | 10% | - Observability Navigation & Monitoring
|
| Topic 2: Alerting on Metrics with Detectors | 10% | - Detectors and Alerting
|
| Topic 3: Detectors for Common Use Cases | 15% | - Advanced Detector Scenarios
|
| Topic 4: Get Metrics In with OpenTelemetry | 10% | - OpenTelemetry Collector Deployment
|
| Topic 5: Introduction to Visualizing Metrics | 15% | - Metrics Visualization
|
| Topic 6: Finding Insights Using Analytics | 15% | - Metrics Analytics
|
| Topic 7: Metrics Concepts | 15% | - Core Metrics Data Model
|
| Topic 8: Create Efficient Dashboards and Alerts | 10% | - Dashboard Optimization
|
>> SPLK-4001 Fragen Antworten <<
Die Splunk SPLK-4001 Zertifizierungsprüfung ist eine Prüfung, die Fachkenntnisse eines Menschen testet. Fast2test ist eine Website, die Ihnen zum Bestehen der Splunk SPLK-4001 Zertifizierungsprüfung verhilft. Vor der Prüfung können Sie die zielgerichteten benutzen, werden Sie in kurz Zeit große Fortschritte machen.
11. Frage
To refine a search for a metric a customer types host: test-*. What does this filter return?
Antwort: B
Begründung:
The correct answer is A. Only metrics with a dimension of host and a value beginning with test-.
This filter returns the metrics that have a host dimension that matches the pattern test-. For example, test-01, test-abc, test-xyz, etc. The asterisk () is a wildcard character that can match any string of characters1 To learn more about how to filter metrics in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2: https://docs.splunk.com/Observability/gdi/metrics/search.html
12. Frage
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?
Antwort: D
Begründung:
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
13. Frage
Which of the following is optional, but highly recommended to include in a datapoint?
Antwort: C
Begründung:
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 correctly.
14. Frage
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?
Antwort: A
Begründung:
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.
15. Frage
How is it possible to create a dashboard group that no one else can edit?
Antwort: B
Begründung:
According to the web search results, dashboard groups are a feature of Splunk Observability Cloud that allows you to organize and share dashboards with other users in your organization.
You can set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group. To create a dashboard group that no one else can edit, you need to do the following steps:
Create a dashboard group as usual, by selecting Dashboard Group from the Create menu on the navigation bar, entering a name and description, and adding dashboards to the group. Select Alert settings from the Dashboard actions menu ( ) on the top right corner of the dashboard group. This will open a dialog box where you can configure the permissions for the dashboard group.
Under Write access, select Only me. This will restrict the write access to the dashboard group to yourself only. No one else will be able to edit or delete the dashboards in the group. Click Save.
This will create a dashboard group that no one else can edit.
16. Frage
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