[Aug-2026] Feel Splunk SPLK-4001 Dumps PDF Will likely be The best Option [Q36-Q60]

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[Aug-2026] Feel Splunk SPLK-4001 Dumps PDF Will likely be The best Option

SPLK-4001 exam torrent Splunk study guide

Splunk SPLK-4001 Exam Overview:

Certification Vendor:	Splunk
Exam Name:	Splunk O11y Cloud Certified Metrics User Exam
Exam Number:	SPLK-4001
Real Exam Qty:	54
Available Languages:	English
Exam Price:	$130 USD
Exam Format:	Multiple Choice
Exam Duration:	60 minutes
Recommended Training:	OpenTelemetry Fundamentals Splunk Observability Cloud Training
Exam Registration:	Pearson VUE Registration (via Splunk portal) Splunk Certification Track (Official)
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

QUESTION 36
A user wants to add a link to an existing dashboard from an alert. When they click the dimension value in the alert message, they are taken to the dashboard keeping the context. How can this be accomplished? (select all that apply)

Build a global data link.

Add a link to the Runbook URL.

Add a link to the field.

Add the link to the alert message body.

Explanation
The possible ways to add a link to an existing dashboard from an alert are:
Build a global data link. A global data link is a feature that allows you to create a link from any dimension value in any chart or table to a dashboard of your choice. You can specify the source and target dashboards, the dimension name and value, and the query parameters to pass along. When you click on the dimension value in the alert message, you will be taken to the dashboard with the context preserved1 Add a link to the field. A field link is a feature that allows you to create a link from any field value in any search result or alert message to a dashboard of your choice. You can specify the field name and value, the dashboard name and ID, and the query parameters to pass along. When you click on the field value in the alert message, you will be taken to the dashboard with the context preserved2 Therefore, the correct answer is A and C.
To learn more about how to use global data links and field links in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Global-data-links 2:
https://docs.splunk.com/Observability/gdi/metrics/search.html#Field-links

QUESTION 37
What Pod conditions does the Analyzer panel in Kubernetes Navigator monitor? (select all that apply)

Not Scheduled

Unknown

Failed

Pending

The Pod conditions that the Analyzer panel in Kubernetes Navigator monitors are:
Not Scheduled: This condition indicates that the Pod has not been assigned to a Node yet. This could be due to insufficient resources, node affinity, or other scheduling constraints. Unknown:
This condition indicates that the Pod status could not be obtained or is not known by the system.
This could be due to communication errors, node failures, or other unexpected situations. Failed:
This condition indicates that the Pod has terminated in a failure state. This could be due to errors in the application code, container configuration, or external factors. Pending: This condition indicates that the Pod has been accepted by the system, but one or more of its containers has not been created or started yet. This could be due to image pulling, volume mounting, or network issues.

QUESTION 38
Which of the following are true about organization metrics? (select all that apply)

Organization metrics give insights into system usage, system limits, data ingested and token quotas.

Organization metrics count towards custom MTS limits.

Organization metrics are included for free.

A user can plot and alert on them like metrics they send to Splunk Observability Cloud.

Explanation
The correct answer is A, C, and D. Organization metrics give insights into system usage, system limits, data ingested and token quotas. Organization metrics are included for free. A user can plot and alert on them like metrics they send to Splunk Observability Cloud.
Organization metrics are a set of metrics that Splunk Observability Cloud provides to help you measure your organization’s usage of the platform. They include metrics such as:
Ingest metrics: Measure the data you’re sending to Infrastructure Monitoring, such as the number of data points you’ve sent.
App usage metrics: Measure your use of application features, such as the number of dashboards in your organization.
Integration metrics: Measure your use of cloud services integrated with your organization, such as the number of calls to the AWS CloudWatch API.
Resource metrics: Measure your use of resources that you can specify limits for, such as the number of custom metric time series (MTS) you’ve created1 Organization metrics are not charged and do not count against any system limits. You can view them in built-in charts on the Organization Overview page or in custom charts using the Metric Finder. You can also create alerts based on organization metrics to monitor your usage and performance1 To learn more about how to use organization metrics in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/observability/admin/org-metrics.html

QUESTION 39
Which of the following are supported rollup functions in Splunk Observability Cloud?

average, latest, lag, min, max, sum, rate

std_dev, mean, median, mode, min, max

sigma, epsilon, pi, omega, beta, tau

1min, 5min, 10min, 15min, 30min

According to the Splunk O11y Cloud Certified Metrics User Track document1, Observability Cloud has the following rollup functions: Sum: (default for counter metrics): Returns the sum of all data points in the MTS reporting interval. Average (default for gauge metrics): Returns the average value of all data points in the MTS reporting interval. Min: Returns the minimum data point value seen in the MTS reporting interval. Max: Returns the maximum data point value seen in the MTS reporting interval. Latest: Returns the most recent data point value seen in the MTS reporting interval. Lag: Returns the difference between the most recent and the previous data point values seen in the MTS reporting interval. Rate: Returns the rate of change of data points in the MTS reporting interval. Therefore, option A is correct.

QUESTION 40
Clicking a metric name from the results in metric finder displays the metric in Chart Builder. What action needs to be taken in order to save the chart created in the UI?

Create a new dashboard and save the chart.

Save the chart to multiple dashboards.

Make sure that data is coming in for the metric then save the chart.

Save the chart to a dashboard.

According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder. Chart Builder is a tool that allows you to create and customize charts using metrics, dimensions, and analytics functions. To save the chart created in the UI, you need to do the following steps:
Click the Save button on the top right corner of the Chart Builder. This will open a dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.
Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the chart. Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon. A dashboard is a collection of charts that display metrics and events for your services or hosts. You can organize and share dashboards with other users in your organization using dashboard groups.
Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view. You can also access your saved chart from the Dashboards menu on the left navigation bar.

QUESTION 41
The Sum Aggregation option for analytic functions does which of the following?

Calculates the number of MTS present in the plot.

Calculates 1/2 of the values present in the input time series.

Calculates the sum of values present in the input time series across the entire environment or per group.

Calculates the sum of values per time series across a period of time.

According to the Splunk Test Blueprint – O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is analytic functions. Analytic functions are mathematical operations that can be applied to metrics to transform, aggregate, or analyze them.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Analytic Functions, which explains that analytic functions can be used to perform calculations on metrics, such as sum, average, min, max, count, etc. The document also provides examples of how to use analytic functions in charts and dashboards.
One of the analytic functions that can be used is Sum Aggregation, which calculates the sum of values present in the input time series across the entire environment or per group. The document gives an example of how to use Sum Aggregation to calculate the total CPU usage across all hosts in a group by using the following syntax:
sum(cpu.utilization) by hostgroup

QUESTION 42
A team is troubleshooting high cardinality issues with a custom metric. What is a recommended best practice to reduce cardinality?

Add more dimensions to every datapoint

Avoid using high-cardinality values (such as unique IDs) as dimensions

Increase the metric resolution

Convert the metric into a log

Using high-cardinality values, such as unique request IDs or timestamps, as dimensions can cause an explosion in the number of unique time series. Avoiding this practice helps keep cardinality manageable and reduces cost and performance issues.

QUESTION 43
To refine a search for a metric a customer types host: test-*. What does this filter return?

Only metrics with a dimension of host and a value beginning with test-.

Error

Every metric except those with a dimension of host and a value equal to test.

Only metrics with a value of test- beginning with host.

The correct answer is A. Only metrics with a dimension of host and a value beginning with test-.
This filter returns the metrics that have a host dimension that matches the pattern test-. For example, test-01, test-abc, test-xyz, etc. The asterisk () is a wildcard character that can match any string of characters1 To learn more about how to filter metrics in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2: https://docs.splunk.com/Observability/gdi/metrics/search.html

QUESTION 44
What is the limit on the number of properties that an MTS can have?

No limit

Explanation
The correct answer is A. 64.
According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA1 Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS. The limit on the number of dimensions per MTS is 362 To learn more about how to use properties and dimensions in Splunk Observability Cloud, you can refer to this documentation2.
1:
https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html#Custom-properties
2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html

QUESTION 45
Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

/opt/splunk/

/etc/otel/collector/

/etc/opentelemetry/

/etc/system/default/

According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.

QUESTION 46
For a high-resolution metric, what is the highest possible native resolution of the metric?

2 seconds

15 seconds

1 second

5 seconds

According to the Splunk Test Blueprint – O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is data resolution and rollups. Data resolution refers to the granularity of the metric data points, and rollups are the process of aggregating data points over time to reduce the amount of data stored.
The Splunk O11y Cloud Certified Metrics User Track document, states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Data Resolution and Rollups, which explains that Splunk Observability Cloud collects high-resolution metrics at 1- second intervals by default, and then applies rollups to reduce the data volume over time. The document also provides a table that shows the different rollup intervals and retention periods for different resolutions.
Therefore, based on these documents, we can conclude that for a high-resolution metric, the highest possible native resolution of the metric is 1 second.

QUESTION 47
The Sum Aggregation option for analytic functions does which of the following?

Calculates the number of MTS present in the plot.

Calculates 1/2 of the values present in the input time series.

Calculates the sum of values present in the input time series across the entire environment or per group.

Calculates the sum of values per time series across a period of time.

According to the Splunk Test Blueprint – O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is analytic functions. Analytic functions are mathematical operations that can be applied to metrics to transform, aggregate, or analyze them. The Splunk O11y Cloud Certified Metrics User Track document, states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Analytic Functions, which explains that analytic functions can be used to perform calculations on metrics, such as sum, average, min, max, count, etc. The document also provides examples of how to use analytic functions in charts and dashboards.
One of the analytic functions that can be used is Sum Aggregation, which calculates the sum of values present in the input time series across the entire environment or per group. The document gives an example of how to use Sum Aggregation to calculate the total CPU usage across all hosts in a group by using the following syntax:
sum(cpu.utilization) by hostgroup

QUESTION 48
A Software Engineer is troubleshooting an issue with memory utilization in their application. They released a new canary version to production and now want to determine if the average memory usage is lower for requests with the ‘canary’ version dimension. They’ve already opened the graph of memory utilization for their service.
How does the engineer see if the new release lowered average memory utilization?

On the chart for plot A, select Add Analytics, then select MeanrTransformation. In the window that appears, select ‘version’ from the Group By field.

On the chart for plot A, scroll to the end and click Enter Function, then enter ‘A/B-l’.

On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select ‘version’ from the Group By field.

On the chart for plot A, click the Compare Means button. In the window that appears, type ‘version1.

The correct answer is C. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select ‘version’ from the Group By field.
This will create a new plot B that shows the average memory utilization for each version of the application. The engineer can then compare the values of plot B for the ‘canary’ and ‘stable’ versions to see if there is a significant difference.
To learn more about how to use analytics functions in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/analytics.html

QUESTION 49
When you add instructions to dashboards, what is their primary purpose?

To customize alert messages

To troubleshoot charts and alerts

To guide users on using the dashboard effectively

To configure local data links

QUESTION 50
Interpreting data in charts can be affected by which of the following? (Choose all that apply.)

Rollups

Tags

Analytics functions

Chart resolution

Chart interpretation can be affected by rollups, analytic functions, and chart resolution because each can change how raw metric data is summarized, transformed, or visually represented over the selected time range.

QUESTION 51
Which feature for troubleshooting Kubernetes performance at scale highlights instances that are in a bad state and producing theories about what those instances might have in common?

Kubernetes Troubleshooter

Kubernetes Inspector

Kubernetes Analyzer

Kubernetes Problem Detector

The Kubernetes Troubleshooter identifies instances that are in a degraded or bad state and suggests common factors or potential causes, helping users efficiently diagnose performance issues at scale.

QUESTION 52
Which of the following statements is true of detectors created from a chart on a custom dashboard?

Changes made to the chart affect the detector.

Changes made to the detector affect the chart.

The alerts will show up in the team landing page.

The detector is automatically linked to the chart.

When you create a detector from a chart on a custom dashboard, the detector is automatically linked to the chart. This means that you can see the detector status and alerts on the chart, and you can access the detector settings from the chart menu. You can also unlink the detector from the chart if you want to.
Changes made to the chart do not affect the detector, and changes made to the detector do not affect the chart. The detector and the chart are independent entities that have their own settings and parameters. However, if you change the metric or dimension of the chart, you might lose the link to the detector.
The alerts generated by the detector will show up in the Alerts page, where you can view, manage, and acknowledge them. You can also see them on the team landing page if you assign the detector to a team.

QUESTION 53
Which mode is needed when the OpenTelemetry Collector is deployed on the same host as the application being monitored?

Server

Agent

Gateway

Client

When the OpenTelemetry Collector runs on the same host as the application, it operates in agent mode. In this mode, it directly receives telemetry data from the application and forwards it to a centralized backend or gateway for further processing.

QUESTION 54
A customer is experiencing issues getting metrics from a new receiver they have configured in the OpenTelemetry Collector. How would the customer go about troubleshooting further with the logging exporter?

Adding debug into the metrics receiver pipeline:

Adding logging into the metrics receiver pipeline:

Adding logging into the metrics exporter pipeline:

Adding debug into the metrics exporter pipeline:

The correct answer is B. Adding logging into the metrics receiver pipeline.
The logging exporter is a component that allows the OpenTelemetry Collector to send traces, metrics, and logs directly to the console. It can be used to diagnose and troubleshoot issues with telemetry received and processed by the Collector, or to obtain samples for other purposes1 To activate the logging exporter, you need to add it to the pipeline that you want to diagnose. In this case, since you are experiencing issues with a new receiver for metrics, you need to add the logging exporter to the metrics receiver pipeline. This will create a new plot that shows the metrics received by the Collector and any errors or warnings that might occur1 The image that you have sent with your question shows how to add the logging exporter to the metrics receiver pipeline. You can see that the exporters section of the metrics pipeline includes logging as one of the options. This means that the metrics received by any of the receivers listed in the receivers section will be sent to the logging exporter as well as to any other exporters listed2 To learn more about how to use the logging exporter in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/components/logging-exporter.html 2: https://docs.splunk.com/Observability/gdi/opentelemetry/exposed-endpoints.html

QUESTION 55
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?

Maximum / Minimum

Best/Worst

Exclude / Include

Top / Bottom

Explanation
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1 To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.

QUESTION 56
Clicking a metric name from the results in metric finder displays the metric in Chart Builder. What action needs to be taken in order to save the chart created in the UI?

Create a new dashboard and save the chart.

Save the chart to multiple dashboards.

Make sure that data is coming in for the metric then save the chart.

Save the chart to a dashboard.

According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder1. Chart Builder is a tool that allows you to create and customize charts using metrics, dimensions, and analytics functions2. To save the chart created in the UI, you need to do the following steps:
Click the Save button on the top right corner of the Chart Builder. This will open a dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.
Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the chart.
Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon. A dashboard is a collection of charts that display metrics and events for your services or hosts3. You can organize and share dashboards with other users in your organization using dashboard groups3.
Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view. You can also access your saved chart from the Dashboards menu on the left navigation bar.

QUESTION 57
How can you effectively monitor metrics with cyclic patterns using detectors?

Apply a moving average to smooth out cyclic fluctuations

Configure multiple detectors with different extrapolation policies

Use historical data to predict cyclic patterns

Trigger alerts based on the highest and lowest points of the cycles

QUESTION 58
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?

Dashboard groups

Shared charts

Public dashboards

Chart exporter

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 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.

QUESTION 59
What approach can be used to effectively monitor cyclic metrics with unpredictable periods?

Implement custom anomaly detection algorithms to handle cyclic variations

Use LAG and LEAD analytic functions to identify cyclic patterns

Adjust the detector’s threshold dynamically based on cyclic fluctuations

Apply moving averages with different window sizes

QUESTION 60
What does the “Sudden Change” detector condition type identify?

A gradual increase in a metric’s value over weeks

A significant deviation from recent historical behavior within a short time window

A fixed threshold breach

A missing datapoint

The Sudden Change condition compares recent signal behavior to a recent historical window and alerts when there is a significant, abrupt deviation, making it useful for detecting spikes or drops.

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Splunk SPLK-4001 certification exam is designed to test an individual’s knowledge and skills in using Splunk to monitor and analyze metrics in cloud environments. Splunk O11y Cloud Certified Metrics User certification is aimed at professionals who are responsible for monitoring and analyzing the performance and health of cloud-based applications and infrastructure. It is also suitable for individuals who are interested in learning how to use Splunk to gain insights into the metrics of cloud-based systems.

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