SPLK-4001 Exam Dumps

54 Questions


Last Updated On : 15-Apr-2025



Turn your preparation into perfection. Our Splunk SPLK-4001 exam dumps are the key to unlocking your exam success. SPLK-4001 practice test helps you understand the structure and question types of the actual exam. This reduces surprises on exam day and boosts your confidence.

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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?


A. Create a new dashboard and save the chart.


B. Save the chart to multiple dashboards.


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


D. Save the chart to a dashboard.





D.
  Save the chart to a dashboard.

Explanation:
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.

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


A. Alerts on team landing page.


B. Alerts on a dashboard.


C. Outbound notifications.


D. Links to a chart.





C.
  Outbound notifications.

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.

Which component of the OpenTelemetry Collector allows for the modification of metadata?


A. Processors


B. Pipelines


C. Exporters


D. Receivers





A.
  Processors

Explanation: The component of the OpenTelemetry Collector that allows for the modification of metadata is A. Processors.
Processors are components that can modify the telemetry data before sending it to exporters or other components. Processors can perform various transformations on metrics, traces, and logs, such as filtering, adding, deleting, or updating attributes, labels, or resources. Processors can also enrich the telemetry data with additional metadata from various sources, such as Kubernetes, environment variables, or system information1.
For example, one of the processors that can modify metadata is the attributes processor. This processor can update, insert, delete, or replace existing attributes on metrics or traces. Attributes are key-value pairs that provide additional information about the telemetry data, such as the service name, the host name, or the span kind2.
Another example is the resource processor. This processor can modify resource attributes on metrics or traces. Resource attributes are key-value pairs that describe the entity that produced the telemetry data, such as the cloud provider, the region, or the instance type3.

What is one reason a user of Splunk Observability Cloud would want to subscribe to an alert?


A. To determine the root cause of the Issue triggering the detector.


B. To perform transformations on the data used by the detector.


C. To receive an email notification when a detector is triggered.


D. To be able to modify the alert parameters.





C.
  To receive an email notification when a detector is triggered.

Explanation: One reason a user of Splunk Observability Cloud would want to subscribe to an alert is C. To receive an email notification when a detector is triggered.
A detector is a component of Splunk Observability Cloud that monitors metrics or events and triggers alerts when certain conditions are met. A user can create and configure detectors to suit their monitoring needs and goals1.
A subscription is a way for a user to receive notifications when a detector triggers an alert. A user can subscribe to a detector by entering their email address in the Subscription tab of the detector page. A user can also unsubscribe from a detector at any time2.
When a user subscribes to an alert, they will receive an email notification that contains information about the alert, such as the detector name, the alert status, the alert severity, the alert time, and the alert message. The email notification also includes links to view the detector, acknowledge the alert, or unsubscribe from the detector2.

When installing OpenTelemetry Collector, which error message is indicative that there is a misconfigured realm or access token?


A. 403 (NOT ALLOWED)


B. 404 (NOT FOUND)


C. 401 (UNAUTHORIZED)


D. 503 (SERVICE UNREACHABLE)





C.
  401 (UNAUTHORIZED)

Explanation: The correct answer is C. 401 (UNAUTHORIZED).
According to the web search results, a 401 (UNAUTHORIZED) error message is indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector1. A 401 (UNAUTHORIZED) error message means that the request was not authorized by the server due to invalid credentials. A realm is a parameter that specifies the scope of protection for a resource, such as a Splunk Observability Cloud endpoint. An access token is a credential that grants access to a resource, such as a Splunk Observability Cloud API. If the realm or the access token is misconfigured, the request to install OpenTelemetry Collector will be rejected by the server with a 401 (UNAUTHORIZED) error message.
Option A is incorrect because a 403 (NOT ALLOWED) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 403 (NOT ALLOWED) error message means that the request was authorized by the server but not allowed due to insufficient permissions. Option B is incorrect because a 404 (NOT FOUND) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 404 (NOT FOUND) error message means that the request was not found by the server due to an invalid URL or resource.
Option D is incorrect because a 503 (SERVICE UNREACHABLE) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 503 (SERVICE UNREACHABLE) error message means that the server was unable to handle the request due to temporary overload or maintenance.

Which of the following is optional, but highly recommended to include in a datapoint?


A. Metric name


B. Timestamp


C. Value


D. Metric type





D.
  Metric type

Explanation: The correct answer is D. Metric type.
A metric type is an optional, but highly recommended field that specifies the kind of measurement that a datapoint represents. For example, a metric type can be gauge, counter, cumulative counter, or histogram. A metric type helps Splunk Observability Cloud to interpret and display the data correctly1.


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About Splunk O11y Cloud Certified Metrics User - SPLK-4001 Exam

Splunk Observability Cloud Certified Metrics User (SPLK-4001) exam is a specialized certification designed for professionals who want to demonstrate their expertise in using Splunk Observability Cloud for monitoring and analyzing metrics. We will cover exam details, study resources, and preparation tips to help you pass the SPLK-4001 certification successfully. SPLK-4001 exam focuses on your ability to use Splunk Observability Clouds metrics capabilities to monitor, analyze, and troubleshoot system performance. It is tailored for individuals who work with metrics data to ensure the reliability and efficiency of applications and infrastructure.

Key Topics:

1. Creating and Customizing Dashboards - 30% of exam
2. Metrics Fundamentals - 20% of exam
3. Navigating Splunk Observability Cloud - 20% of exam
4. Analyzing Metrics Data - 20% of exam
5. Troubleshooting and Optimization - 10% of exam

Splunk SPLK-4001 Exam Details


Exam Code: SPLK-4001
Exam Name: Splunk Observability Cloud Certified Metrics User
Certification Name: Splunk O11y Cloud Certified Metrics User
Certification Provider: Splunk
Exam Questions: 60
Type of Questions: MCQs
Exam Time: 60 minutes
Passing Score: 70%
Exam Price: $130

Splunk provides official training courses to help candidates prepare for the SPLK-4001 exam. Practice using Splunk Observability Cloud by setting up a test environment. Solve Splunk SPLK-4001 dumps practice questions to familiarize yourself with exam format and difficulty level. Study official Splunk documentation, blogs, and whitepapers on metric analysis, monitoring best practices, and performance optimization. Ensure you have a strong understanding of observability concepts, including metrics, logs, and traces, as well as their role in monitoring and troubleshooting.

What is the value of the Splunk O11y Cloud Certified Metrics User certification in the job market?
This certification is highly valuable for professionals in DevOps, Site Reliability Engineering (SRE), and cloud monitoring roles. It validates your expertise in metrics monitoring, analytics, and alerting using Splunk Observability Cloud.