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To prepare for the Splunk SPLK-4001 certification exam, Splunk offers a training course that covers the key concepts and skills required to pass the exam. SPLK-4001 course includes hands-on exercises, real-world examples, and best practices for using Splunk to monitor and analyze metrics in cloud environments. Additionally, there are many online resources available, including blogs, forums, and user groups, where you can connect with other professionals and learn from their experiences.

Splunk SPLK-4001 Certification Exam is an excellent opportunity for IT professionals to demonstrate their knowledge and expertise in using Splunk for cloud monitoring and analysis. By preparing for and passing the exam, you can enhance your career prospects and demonstrate your commitment to staying up-to-date with the latest technologies and best practices in cloud infrastructure monitoring.

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SPLK-4001 – 100% Free Real Question | Accurate Test Splunk O11y Cloud Certified Metrics User Dumps

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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.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q31-Q36):

NEW QUESTION # 31
Which of the following are accurate reasons to clone a detector? (select all that apply)

A. To add an additional recipient to the detector's alerts.
B. To modify the rules without affecting the existing detector.
C. To reduce the amount of billed TAPM for the detector.
D. To explore how a detector was created without risk of changing it.

Answer: B,D

Explanation:
Explanation
The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector.
B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector. TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector's alerts. Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector's alerts, you need to edit the alert settings of the detector.

NEW QUESTION # 32
Which of the following are required in the configuration of a data point? (select all that apply)

A. Value
B. Metric Name
C. Metric Type
D. Timestamp

Answer: A,B,D

Explanation:
Explanation
The required components in the configuration of a data point are:
Metric Name: A metric name is a string that identifies the type of measurement that the data point represents, such as cpu.utilization, memory.usage, or response.time. A metric name is mandatory for every data point, and it must be unique within a Splunk Observability Cloud organization1 Timestamp: A timestamp is a numerical value that indicates the time at which the data point was collected or generated. A timestamp is mandatory for every data point, and it must be in epoch time format, which is the number of seconds since January 1, 1970 UTC1 Value: A value is a numerical value that indicates the magnitude or quantity of the measurement that the data point represents. A value is mandatory for every data point, and it must be compatible with the metric type of the data point1 Therefore, the correct answer is A, C, and D.
To learn more about how to configure data points in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Data-points

NEW QUESTION # 33
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 a dashboard.
C. Save the chart to multiple dashboards.
D. Make sure that data is coming in for the metric then save the chart.

Answer: B

Explanation:
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.

NEW QUESTION # 34
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?

A. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.
B. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
C. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
D. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.

Answer: D

NEW QUESTION # 35
To refine a search for a metric a customer types host: test-*. What does this filter return?

A. Only metrics with a value of test- beginning with host.
B. Every metric except those with a dimension of host and a value equal to test.
C. Error
D. Only metrics with a dimension of host and a value beginning with test-.

Answer: D

Explanation:
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

NEW QUESTION # 36
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