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Splunk SPLK-4001 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk O11y Cloud Certified Metrics User Exam
Exam Number:SPLK-4001
Exam Duration:60 minutes
Available Languages:English
Exam Price:$130 USD
Real Exam Qty:54
Exam Format:Multiple Choice
Recommended Training:Splunk Observability Cloud Training
OpenTelemetry Fundamentals
Exam Registration:Splunk Certification Track (Official)
Pearson VUE Registration (via Splunk portal)
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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The Splunk O11y Cloud Certified Metrics User certification exam tests an individual's knowledge of the Observability Cloud and its features, including metrics collection, analysis, and visualization. SPLK-4001 exam also covers topics such as creating dashboards and alerts, working with time series data, and troubleshooting common issues. SPLK-4001 Exam is designed to ensure that candidates have a deep understanding of the platform and can use it effectively to monitor and analyze metrics data.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q119-Q124):

NEW QUESTION # 119
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: D

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 # 120
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?

Answer: C

Explanation:
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.


NEW QUESTION # 121
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

Answer: A

Explanation:
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.


NEW QUESTION # 122
A user configures a detector with a "Static Threshold" alert condition. What must they define for this condition to trigger correctly?

Answer: A

Explanation:
A Static Threshold condition requires the user to specify a fixed threshold value and how long the signal must remain above or below that value before the detector triggers an alert.


NEW QUESTION # 123
Which of the following can be configured when subscribing to a built-in detector?

Answer: C

Explanation:
Explanation
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.


NEW QUESTION # 124
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