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The Splunk SPLK-4001 exam consists of 60 multiple-choice questions, which must be completed within 90 minutes. The questions are designed to test the candidate's knowledge of Splunk Cloud metrics, including how to create and modify metrics data, how to configure alerts, and how to use dashboards to visualize metrics data. SPLK-4001 Exam also tests the candidate's ability to troubleshoot issues related to metrics data in Splunk Cloud.
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Splunk is a leading software platform that provides real-time operational intelligence to businesses of all sizes. The platform offers powerful tools for collecting, analyzing, and visualizing data from various sources, allowing organizations to gain valuable insights into their operations and make data-driven decisions. To ensure that users have the necessary skills and knowledge to maximize the benefits of the platform, Splunk offers a range of certification exams. One such exam is the SPLK-4001 (Splunk O11y Cloud Certified Metrics User) Certification Exam.
NEW QUESTION # 17
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?
Answer: D
Explanation:
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.
NEW QUESTION # 18
How is it possible to create a dashboard group that no one else can edit?
Answer: A
Explanation:
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.
NEW QUESTION # 19
A user wants to be alerted when a detector created by someone else on their team fires. How can this user get notifications from the detector?
Answer: A
Explanation:
By subscribing to a detector, a user receives notifications whenever the detector fires, even if they did not create it, allowing them to stay informed about relevant alerts from their team's detectors.
NEW QUESTION # 20
A user wants to create an alert that only fires if CPU usage is above 90% AND memory usage is above 85% at the same time. What should they configure?
Answer: C
Explanation:
Splunk Observability Cloud allows users to build detectors using signal expressions that combine multiple conditions (such as AND logic across two metrics), enabling alerts that trigger only when all specified conditions are met simultaneously.
NEW QUESTION # 21
Which of the following is true regarding rollups in Splunk Observability Cloud?
Answer: D
Explanation:
Rollups define how raw datapoints are aggregated (e.g., average, sum, min, max, latest) as they are summarized over time, especially when a chart or detector displays data across a wider time range than the metric's native resolution.
NEW QUESTION # 22
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