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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk O11y Cloud Certified Metrics User |
| Exam Number: | SPLK-4001 |
| Exam Price: | $130 USD |
| Passing Score: | 70% or 700/1000 |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 54 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Scenario-based, Multiple choice |
| 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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Splunk SPLK-4001 Certification Exam is designed for professionals who work with Splunk's Observability Cloud and want to validate their knowledge and skills in cloud-based metrics analysis. SPLK-4001 exam covers topics such as metrics collection, analysis, and visualization, as well as creating dashboards and alerts. Splunk O11y Cloud Certified Metrics User certification demonstrates an individual's ability to work effectively with Splunk's cloud-based platform and can help professionals advance in their career.
NEW QUESTION # 37
What is the limit on the number of properties that an MTS can have?
Answer: A
Explanation:
The correct answer is A. 64.
According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA1 Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS. The limit on the number of dimensions per MTS is 362 To learn more about how to use properties and dimensions in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html#Custom-properties 2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html
NEW QUESTION # 38
A customer has an over-utilized host, and they want an alert when the disk utilization of a given host goes over 80% for 5 minutes. They create a detector, but do not see an alert when expected. Which of the following could be a reason for this?
Answer: C
Explanation:
If a detector's resolution is too low, it may miss short-duration spikes in metrics. Setting the detector resolution appropriately ensures that sustained conditions, like disk utilization over 80% for 5 minutes, are accurately evaluated and trigger alerts.
NEW QUESTION # 39
Which feature allows users to receive an alert notification via Slack, email, or PagerDuty when a detector triggers?
Answer: B
Explanation:
Notification integrations allow detectors to send alerts to external systems such as Slack, email, PagerDuty, and others, ensuring the right teams are notified when an alert condition is triggered.
NEW QUESTION # 40
Which of the following are required in the configuration of a data point? (select all that apply)
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 # 41
Which feature for troubleshooting Kubernetes performance at scale highlights instances that are in a bad state and producing theories about what those instances might have in common?
Answer: C
Explanation:
The Kubernetes Troubleshooter identifies instances that are in a degraded or bad state and suggests common factors or potential causes, helping users efficiently diagnose performance issues at scale.
NEW QUESTION # 42
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