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Splunk SPLK-4001 certification exam is designed for professionals who want to demonstrate their expertise in using Splunk's Observability Cloud to monitor and analyze metrics. SPLK-4001 exam is focused on assessing the candidate's ability to collect, analyze, and visualize various types of metrics using the Splunk Observability Cloud. Splunk O11y Cloud Certified Metrics User certification is an excellent opportunity for IT professionals who want to advance their careers in cloud monitoring and analysis.

Splunk SPLK-4001: Splunk O11y Cloud Certified Metrics User Exam is a certification exam designed for professionals who want to validate their skills and knowledge in using Splunk O11y Cloud metrics. Splunk is a leading platform that provides a unified view of machine data and helps organizations turn data into actionable insights. The SPLK-4001 Exam is a great way for professionals to demonstrate their proficiency in using Splunk O11y Cloud metrics and showcase their expertise to potential employers.

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Professionals who are certified in SPLK-4001 can expect to have a solid understanding of how to monitor and troubleshoot cloud environments using Splunk. They can leverage Splunk's powerful features to collect, analyze, and visualize metrics data efficiently. Splunk O11y Cloud Certified Metrics User certification can help individuals stand out in the competitive job market and increase their earning potential. Overall, the SPLK-4001 Exam is a valuable certification for professionals who want to enhance their skills in observability and work with one of the leading platforms in the industry.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q28-Q33):

NEW QUESTION # 28
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. Save the chart to multiple dashboards.
B. Save the chart to a dashboard.
C. Make sure that data is coming in for the metric then save the chart.
D. Create a new dashboard and 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 # 29
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. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
B. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.
C. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
D. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.

Answer: D

NEW QUESTION # 30
Which component of the OpenTelemetry Collector allows for the modification of metadata?

A. Processors
B. Pipelines
C. Receivers
D. Exporters

Answer: A

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 To learn more about how to use processors in the OpenTelemetry Collector, you can refer to this documentation1.
1: https://opentelemetry.io/docs/collector/configuration/#processors 2: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/attributesprocessor 3: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourceprocessor

NEW QUESTION # 31
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. Error
C. Only metrics with a dimension of host and a value beginning with test-.
D. Every metric except those with a dimension of host and a value equal to test.

Answer: C

Explanation:
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 # 32
An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds. Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms.
How can the number of alerts be reduced?

A. Adjust the Trigger sensitivity. Duration set to 1 minute.
B. Adjust the notification sensitivity. Duration set to 1 minute.
C. Choose another signal.
D. Adjust the threshold.

Answer: A

Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes. This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.

NEW QUESTION # 33
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Comprehensive, up-to-date coverage of the entire SPLK-4001 Splunk O11y Cloud Certified Metrics User curriculum

Splunk SPLK-4001 Valid Exam Dumps, Exam SPLK-4001 Materials

Splunk O11y Cloud Certified Metrics User Sample Questions (Q28-Q33):

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