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[General] Latest Splunk SPLK-4001 Exam Testking, Valid SPLK-4001 Exam Dumps

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【General】 Latest Splunk SPLK-4001 Exam Testking, Valid SPLK-4001 Exam Dumps

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The SPLK-4001 certification is highly valued in the IT industry, as it demonstrates a candidate's proficiency in using Splunk's Observability Cloud. It is a globally recognized certification that can help professionals advance their careers in cloud monitoring and analysis. By passing the SPLK-4001 exam, candidates can prove their expertise in using Splunk's Observability Cloud to monitor their organization's infrastructure and ensure its smooth operation. Splunk O11y Cloud Certified Metrics User certification is ideal for IT professionals who want to enhance their skills and knowledge in cloud monitoring and analysis.
Splunk SPLK-4001 (Splunk O11y Cloud Certified Metrics User) Exam is designed to test the skills and knowledge of professionals who work with Splunk O11y Cloud. Splunk O11y Cloud is a cloud-based platform that enables organizations to monitor, analyze, and troubleshoot their IT infrastructure and applications in real-time. SPLK-4001 exam is intended for individuals who have experience working with Splunk O11y Cloud and want to demonstrate their expertise in the platform's metrics and monitoring capabilities.
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To prepare for the SPLK-4001 Exam, individuals can take advantage of a variety of resources provided by Splunk. These include online courses, practice exams, and study guides. In addition, Splunk offers certification paths and badges for individuals who want to demonstrate their expertise in specific areas of Splunk.
Splunk O11y Cloud Certified Metrics User Sample Questions (Q42-Q47):NEW QUESTION # 42
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. Choose another signal.
  • B. Adjust the notification sensitivity. Duration set to 1 minute.
  • C. Adjust the Trigger sensitivity. Duration set to 1 minute.
  • D. Adjust the threshold.
Answer: C
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 # 43
Which component of the OpenTelemetry Collector allows for the modification of metadata?
  • A. Pipelines
  • B. Receivers
  • C. Processors
  • D. Exporters
Answer: C
Explanation:
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-telemetr ... attributesprocessor 3:
https://github.com/open-telemetr ... r/resourceprocessor

NEW QUESTION # 44
With exceptions for transformations or timeshifts, at what resolution do detectors operate?
  • A. Native resolution
  • B. 10 seconds
  • C. The resolution of the dashboard
  • D. The resolution of the chart
Answer: A
Explanation:
According to the Splunk Observability Cloud documentation1, detectors operate at the native resolution of the metric or dimension that they monitor, with some exceptions for transformations or timeshifts. The native resolution is the frequency at which the data points are reported by the source. For example, if a metric is reported every 10 seconds, the detector will evaluate the metric every 10 seconds. The native resolution ensures that the detector uses the most granular and accurate data available for alerting.

NEW QUESTION # 45
Changes to which type of metadata result in a new metric time series?
  • A. Sources
  • B. Properties
  • C. Tags
  • D. Dimensions
Answer: D
Explanation:
Explanation
The correct answer is A. Dimensions.
Dimensions are metadata in the form of key-value pairs that are sent along with the metrics at the time of ingest. They provide additional information about the metric, such as the name of the host that sent the metric, or the location of the server. Along with the metric name, they uniquely identify a metric time series (MTS)1 Changes to dimensions result in a new MTS, because they create a different combination of metric name and dimensions. For example, if you change the hostname dimension from host1 to host2, you will create a new MTS for the same metric name1 Properties, sources, and tags are other types of metadata that can be applied to existing MTSes after ingest.
They do not contribute to uniquely identify an MTS, and they do not create a new MTS when changed2 To learn more about how to use metadata in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observab ... ics.html#Dimensions 2:
https://docs.splunk.com/Observab ... dimensions-mts.html

NEW QUESTION # 46
Which of the following statements about adding properties to MTS are true? (select all that apply)
  • A. Properties can be set via the API.
  • B. Properties can be set in the UI under Metric Metadata.
  • C. Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension
  • D. Properties are sent in with datapoints.
Answer: A,B
Explanation:
Explanation
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud1. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA.
To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests2. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings3.
Therefore, option A and D are correct.

NEW QUESTION # 47
......
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