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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk O11y Cloud Certified Metrics User |
| Exam Number: | SPLK-4001 |
| Certificate Validity Period: | 3 years |
| Exam Price: | $130 USD |
| Real Exam Qty: | 54 |
| Passing Score: | 70% or 700/1000 |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple choice, Scenario-based |
| Available Languages: | English |
| Recommended Training: | Splunk O11y Cloud Metrics User Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-4001 Sample Questions |
| Exam Way: | Online proctored or onsite testing center via Pearson VUE |
| Pre Condition: | No mandatory prerequisites; recommended: basic monitoring knowledge and hands-on experience with Splunk Observability Cloud |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-o11y-cloud-certified-metrics-user.html |
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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 SPLK-4001 Certification Exam is a challenging exam that requires a thorough understanding of Splunk O11y Cloud. SPLK-4001 exam consists of multiple-choice questions that test the candidate's knowledge of Splunk O11y Cloud. Candidates are required to pass the examination by achieving a minimum passing score.
NEW QUESTION # 37
Which component of the OTel Collector is responsible for receiving telemetry data from instrumented applications?
Answer: D
NEW QUESTION # 38
Which of the following is true regarding rollups in Splunk Observability Cloud?
Answer: D
Explanation:
Rollups define how raw datapoints are aggregated (e.g., average, sum, min, max, latest) as they are summarized over time, especially when a chart or detector displays data across a wider time range than the metric's native resolution.
NEW QUESTION # 39
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,B,C
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 # 40
Which of the following statements about adding properties to MTS are true? (select all that apply)
Answer: A,C
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 # 41
What Pod conditions does the Analyzer panel in Kubernetes Navigator monitor? (select all that apply)
Answer: A,B,C,D
Explanation:
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.
NEW QUESTION # 42
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