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The SPLK-4001 Certification Exam is suitable for IT professionals, DevOps engineers, and data analysts who work with cloud-based metrics data. Splunk O11y Cloud Certified Metrics User certification demonstrates an individual's ability to work with Splunk's Observability Cloud and validates their knowledge and skills in this area. Additionally, the certification can help professionals advance in their career by demonstrating their expertise in cloud-based metrics analysis.
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Passing the Splunk SPLK-4001 Exam is a valuable achievement for professionals who work with Splunk O11y Cloud. It demonstrates their proficiency in the platform's metrics and monitoring capabilities and validates their ability to use Splunk O11y Cloud to monitor and manage their organization's IT infrastructure and applications. Additionally, earning the Splunk O11y Cloud Certified Metrics User certification can help professionals advance their careers and increase their earning potential by demonstrating their expertise in a highly sought-after skill set.
NEW QUESTION # 58
Which of the following is true regarding rollups in Splunk Observability Cloud?
Answer: C
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 # 59
The Sum Aggregation option for analytic functions does which of the following?
Answer: C
Explanation:
Explanation
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is analytic functions. Analytic functions are mathematical operations that can be applied to metrics to transform, aggregate, or analyze them.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Analytic Functions, which explains that analytic functions can be used to perform calculations on metrics, such as sum, average, min, max, count, etc. The document also provides examples of how to use analytic functions in charts and dashboards.
One of the analytic functions that can be used is Sum Aggregation, which calculates the sum of values present in the input time series across the entire environment or per group. The document gives an example of how to use Sum Aggregation to calculate the total CPU usage across all hosts in a group by using the following syntax:
sum(cpu.utilization) by hostgroup
NEW QUESTION # 60
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?
Answer: B
Explanation:
In the Splunk distribution of the OpenTelemetry Collector, splunk-otel-collector.conf defines the OpenTelemetry pipeline, including receivers, processors, and exporters, while agent_config.yaml is used to configure Splunk-specific settings such as endpoint URLs and access tokens.
NEW QUESTION # 61
Which of the following are true about organization metrics? (select all that apply)
Answer: B,C,D
Explanation:
Explanation
The correct answer is A, C, and D. Organization metrics give insights into system usage, system limits, data ingested and token quotas. Organization metrics are included for free. A user can plot and alert on them like metrics they send to Splunk Observability Cloud.
Organization metrics are a set of metrics that Splunk Observability Cloud provides to help you measure your organization's usage of the platform. They include metrics such as:
Ingest metrics: Measure the data you're sending to Infrastructure Monitoring, such as the number of data points you've sent.
App usage metrics: Measure your use of application features, such as the number of dashboards in your organization.
Integration metrics: Measure your use of cloud services integrated with your organization, such as the number of calls to the AWS CloudWatch API.
Resource metrics: Measure your use of resources that you can specify limits for, such as the number of custom metric time series (MTS) you've created1 Organization metrics are not charged and do not count against any system limits. You can view them in built-in charts on the Organization Overview page or in custom charts using the Metric Finder. You can also create alerts based on organization metrics to monitor your usage and performance1 To learn more about how to use organization metrics in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/observability/admin/org-metrics.html
NEW QUESTION # 62
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?
Answer: B
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.
NEW QUESTION # 63
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