Free Splunk SPLK-4001 Exam Actual Questions

The questions for SPLK-4001 were last updated On Feb 19, 2025

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Question No. 1

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?

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Correct Answer: D

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.


Question No. 2

Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

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Correct Answer: C

According to the Splunk Observability Cloud documentation1, lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.


Question No. 3

What constitutes a single metrics time series (MTS)?

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Correct Answer: B

The correct answer is B. A set of data points that all have the same metric name and list of dimensions.

A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:

MTS1: Gauge metric cpu.utilization, dimension ''hostname'': ''host1'' MTS2: Gauge metric cpu.utilization, dimension ''hostname'': ''host2'' MTS3: Gauge metric memory.usage, dimension ''hostname'': ''host1''

A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1


Question No. 4

Which of the following can be configured when subscribing to a built-in detector?

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Correct Answer: C

According to the web search results1, subscribing to a built-in detector is a way to receive alerts and notifications from Splunk Observability Cloud when certain criteria are met.A built-in detector is a detector that is automatically created and configured by Splunk Observability Cloud based on the data from your integrations, such as AWS, Kubernetes, or OpenTelemetry1. To subscribe to a built-in detector, you need to do the following steps:

Find the built-in detector that you want to subscribe to.You can use the metric finder or the dashboard groups to locate the built-in detectors that are relevant to your data sources1.

Hover over the built-in detector and click the Subscribe button.This will open a dialog box where you can configure your subscription settings1.

Choose an outbound notification channel from the drop-down menu. This is where you can specify how you want to receive the alert notifications from the built-in detector.You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on2.You can also create a new notification channel by clicking the + icon2.

Enter the notification details for the selected channel.This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so on2.You can also customize the notification message with variables and markdown formatting2.

Click Save. This will subscribe you to the built-in detector and send you alert notifications through the chosen channel when the detector triggers or clears an alert.

Therefore, option C is correct.


Question No. 5

A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes

this possible?

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Correct Answer: A

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 organization1. You can create dashboard groups based on different criteria, such as service, team, role, or topic. You can also set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group. Dashboard groups make it possible to share a collection of charts with your entire SRE organization, or any other group of users that you want to collaborate with.


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