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[General] SPLK-4001 Pass4sure Dumps & SPLK-4001 Sichere Praxis Dumps

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【General】 SPLK-4001 Pass4sure Dumps & SPLK-4001 Sichere Praxis Dumps

Posted at yesterday 15:38      View：2 | Replies：0        Print      Only Author   [Copy Link] 1#
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Die SPLK-4001-Prüfung umfasst verschiedene Themen, wie z.B. Datensammlung, Metrikanalyse, Alarmierung und Visualisierung. Die Kandidaten müssen ihr Wissen über die Architektur von Splunk Observability Cloud, ihre verschiedenen Komponenten und wie sie zusammenarbeiten, um eine umfassende Überwachungslösung bereitzustellen, demonstrieren. Zusätzlich bewertet die Prüfung die Fähigkeit des Kandidaten, Metriken zu interpretieren und potenzielle Probleme zu identifizieren, sowie seine Fähigkeiten zur Erstellung benutzerdefinierter Dashboards und Alarme.
SPLK-4001 examkiller gültige Ausbildung Dumps & SPLK-4001 Prüfung Überprüfung TorrentsDie Prüfungsfragen und Antworten zur Splunk SPLK-4001 Zertifizierungsprüfung von DeutschPrüfung wird von unserem Expertenteam nach ihren umfangreichen Kenntnissen und Erfahrungen berarbeitet. Sie können die Bedürfnisse der Kandidaten abdecken. Sie finden vielleicht in anderen Büchern oder auf anderen Websites auch die Splunk SPLK-4001 Schulungsunterlagen. Aber die Schulungsunterlagen von DeutschPrüfung sind die umfassendste unter ihnen und zugleich kann Ihnen die beste Garantie geben. Bitte wählen Sie die Splunk SPLK-4001 Prüfungsfragen und Antworten von DeutschPrüfung.
Splunk O11y Cloud Certified Metrics User SPLK-4001 Prüfungsfragen mit Lösungen (Q21-Q26):21. Frage
A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?
  • A. Sum transformation
  • B. Standard deviation
  • C. Tlmeshift
  • D. Rate
Antwort: C
Begründung:
The correct answer is C. Timeshift.
According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code:
timeshift(1w, counters("server.utilization"))
This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.

22. Frage
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?
  • A. The new signals will be reflected in the original chart.
  • B. The new signals will not be added to the original detector.
  • C. The new signals will be reflected in the original detector.
  • D. You can only monitor one of the new signals.
Antwort: B
Begründung:
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.

23. Frage
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?
  • A. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
  • B. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
  • C. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.
  • D. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.
Antwort: D

24. Frage
Which of the following are accurate reasons to clone a detector? (select all that apply)
  • A. To add an additional recipient to the detector's alerts.
  • B. To explore how a detector was created without risk of changing it.
  • C. To modify the rules without affecting the existing detector.
  • D. To reduce the amount of billed TAPM for the detector.
Antwort: B,C
Begründung:
The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector. B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector. TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector's alerts. Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector's alerts, you need to edit the alert settings of the detector.

25. Frage
What are the best practices for creating detectors? (select all that apply)
  • A. Have a consistent type of measurement.
  • B. View data at highest resolution.
  • C. Have a consistent value.
  • D. View detector in a chart.
Antwort: A,B,C,D
Begründung:
Explanation
The best practices for creating detectors are:
View data at highest resolution. This helps to avoid missing important signals or patterns in the data that could indicate anomalies or issues1 Have a consistent value. This means that the metric or dimension used for detection should have a clear and stable meaning across different sources, contexts, and time periods. For example, avoid using metrics that are affected by changes in configuration, sampling, or aggregation2 View detector in a chart. This helps to visualize the data and the detector logic, as well as to identify any false positives or negatives. It also allows to adjust the detector parameters and thresholds based on the data distribution and behavior3 Have a consistent type of measurement. This means that the metric or dimension used for detection should have the same unit and scale across different sources, contexts, and time periods. For example, avoid mixing bytes and bits, or seconds and milliseconds.
1: https://docs.splunk.com/Observab ... tices-for-detectors 2:
https://docs.splunk.com/Observab ... tices-for-detectors 3:
https://docs.splunk.com/Observab ... detector-in-a-chart :
https://docs.splunk.com/Observab ... tices-for-detectors

26. Frage
......
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