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最新-ハイパスレートのSPLK-4001練習問題集試験-試験の準備方法SPLK-4001試験番号
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試験に合格することは、Splunk試験問題と試験スキルの知識に基づいています。 SPLK-4001トレーニングクイズには、目的を同時に達成できる豊富なコンテンツがあります。 レビューでは、高効率のSplunk O11y Cloud Certified Metrics User実践教材が重要な役割を果たすことがわかっています。 弊社の専門家も最新のコンテンツを収集し、試験のトレンドがどこに向かっているのか、実際にSplunk O11y Cloud Certified Metrics User試験したいものを調査しています。 シラバスと新しいトレンドを分析することで、SPLK-4001練習エンジンは、参考のためにこの試験に完全に一致しています。 したがって、CertJukenこの機会に取り組んでください。私たちの練習資料はあなたを失望させません。
Splunk SPLK-4001試験に合格することは、Splunk O11y Cloudで働く専門家にとって貴重な成果です。プラットフォームのメトリックと監視機能に習熟し、Splunk O11yクラウドを使用して組織のITインフラストラクチャとアプリケーションを監視および管理する能力を検証します。さらに、Splunk O11y Cloud Certified Metricsユーザー認定を獲得することで、専門家がキャリアを進め、非常に人気のあるスキルセットで専門知識を実証することで収益の可能性を高めるのに役立ちます。
Splunkは、組織がデータから貴重な洞察を得るためのソフトウェアソリューションの主要なプロバイダーです。同社の製品は、あらゆる規模のビジネスや様々な産業で使用され、リアルタイムでデータを監視、分析、視覚化するために使用されます。Splunkが提供する中でも最も人気のある認定資格の1つは、SPLK-4001（Splunk O11y Cloud Certified Metrics User）認定試験です。
SPLK-4001試験番号、SPLK-4001復習解答例
効果的な勤勉さが結果に正比例することは誰もが知っているので、長年の勤勉な作業によって、私たちの専門家は頻繁にテストされた知識をあなたの参考のためにSplunk O11y Cloud Certified Metrics User実践資料に集めました。 ですから、Splunk O11y Cloud Certified Metrics Userトレーニング資料は彼らの努力の成果です。 Splunk O11y Cloud Certified Metrics Userの実践教材に頼ることで、以前に想像していた以上の成果を絶対に得ることができます。 Splunk O11y Cloud Certified Metrics Userの実際のSPLK-4001テストを選択した顧客から収集された明確なデータがあり、合格率は98〜100％です。 したがって、成功を収めるチャンスは、当社の資料によって大幅に向上します。
Splunk O11y Cloud Certified Metrics User 認定 SPLK-4001 試験問題 (Q25-Q30):
質問 # 25
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?
- A. 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.
- B. Create a plot C using the formula (A-B) and add a scale:percent function to express the rate of change as a percentage.
- C. Create a temporary plot by clicking the Change% button in the upper-right corner of the plot showing lines A and B.
- D. Create a temporary plot by dragging items A and B into the Analytics Explorer window.
正解：A
解説：
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
質問 # 26
When creating a standalone detector, individual rules in it are labeled according to severity. Which of the choices below represents the possible severity levels that can be selected?
- A. Debug, Warning, Minor, Major, and Critical.
- B. Info, Warning, Minor, Major, and Critical.
- C. Info, Warning, Minor, Severe, and Critical.
- D. Info, Warning, Minor, Major, and Emergency.
正解：B
解説：
The correct answer is C. Info, Warning, Minor, Major, and Critical.
When creating a standalone detector, you can define one or more rules that specify the alert conditions and the severity level for each rule. The severity level indicates how urgent or important the alert is, and it can also affect the notification settings and the escalation policy for the alert1 Splunk Observability Cloud provides five predefined severity levels that you can choose from when creating a rule: Info, Warning, Minor, Major, and Critical. Each severity level has a different color and icon to help you identify the alert status at a glance. You can also customize the severity levels by changing their names, colors, or icons2 To learn more about how to create standalone detectors and use severity levels in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/alerts-detectors-notifications/detectors.html#Create-a-standalone-detector 2: https://docs.splunk.com/Observability/alerts-detectors-notifications/detector-options.html#Severity-levels
質問 # 27
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?
- A. The detector is disabled.
- B. The detector has an incorrect alert rule.
- C. The detector has an incorrect signal,
- D. The detector has a muting rule.
正解：D
解説：
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.
質問 # 28
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard? (select all that apply)
- A. Line
- B. List
- C. Heatmap
- D. Single Value
正解：B、D
解説：
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/Observability/gdi/metrics/charts.html#Single-value 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#List 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html
質問 # 29
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?
- A. The detector is disabled.
- B. The detector has an incorrect alert rule.
- C. The detector has an incorrect signal,
- D. The detector has a muting rule.
正解：D
解説：
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.
質問 # 30
......
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