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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk O11y Cloud Certified Metrics User Exam |
| Exam Number: | SPLK-4001 |
| Exam Format: | Multiple Choice |
| Available Languages: | English |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 54 |
| Exam Price: | $130 USD |
| Recommended Training: | OpenTelemetry Fundamentals Splunk Observability Cloud Training |
| Exam Registration: | Pearson VUE Registration (via Splunk portal) Splunk Certification Track (Official) |
| Sample Questions: | Splunk SPLK-4001 Sample Questions |
| Exam Way: | Online or onsite proctored exam via Pearson VUE |
| Pre Condition: | None |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-o11y-cloud-certified-metrics-user.html |
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Splunk是一個領先的軟件平台,為各種規模的企業提供實時運營情報。該平台為收集,分析和可視化來自各種來源的數據提供了強大的工具,使組織能夠對其運營獲得寶貴的見解並做出數據驅動的決策。為了確保用戶具有必要的技能和知識來最大程度地提高平台的好處,Splunk提供了一系列認證考試。其中一項考試是SPLK-4001(Splunk O11Y Cloud認證的指標用戶)認證考試。
Splunk SPLK-4001考試是為深入了解Splunk的度量和日誌功能的個人而設計的。該考試涵蓋了一系列主題,包括如何使用Splunk收集和分析度量數據,如何創建儀表板和警報,以及如何實時排除問題。通過考試,個人可以展示自己在這些領域的專業知識,並在就業市場中脫穎而出。
問題 #41
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?
答案:D
解題說明:
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
問題 #42
To refine a search for a metric a customer types host: test-*. What does this filter return?
答案:B
解題說明:
Explanation
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
問題 #43
A team wants to visualize the 95th percentile of request latency across all instances of a service.
Which analytic function should be applied?
答案:C
解題說明:
The Percentile analytic function allows users to calculate a specific percentile, such as p95, across the values of a signal, which is useful for understanding latency distribution and tail performance.
問題 #44
What happens when the limit of allowed dimensions is exceeded for an MTS?
答案:C
解題說明:
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS.
Splunk Observability Cloud has a limit of 36 unique dimensions per MTS. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.
問題 #45
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?
答案:C
解題說明:
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 it1 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 Support2 To learn more about how to use filters in Splunk Observability Cloud, you can refer to this documentation3.
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
問題 #46
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