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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk O11y Cloud Certified Metrics User |
| Exam Number: | SPLK-4001 |
| Available Languages: | English |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 54 |
| Exam Format: | Scenario-based, Multiple choice |
| Passing Score: | 70% or 700/1000 |
| Certificate Validity Period: | 3 years |
| Exam Price: | $130 USD |
| 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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The Splunk SPLK-4001 exam measures the essential knowledge, skills, and abilities required to perform tasks related to the Splunk O11y Cloud Metrics platform. The topics covered in the certification exam are setting up data and metric sources, using metric containers, exploring and visualizing metrics, creating and sharing dashboards, configuring alert conditions, setting up notifications, creating reports, configuring metric indexes, and using metric webhooks. A candidate must have knowledge of endpoint and container metrics, Kubernetes metrics, monitoring applications, and monitoring infrastructure.
Splunk SPLK-4001 (Splunk O11y Cloud Certified Metrics User) certification exam is the designation given to professionals who pass the Splunk exam that tests their knowledge and understanding of metrics in Splunk environments. This certificate is designed for professionals who are interested in demonstrating their abilities in monitoring, analysis, and visualization of the data through dashboards and alerts. SPLK-4001 Exam is essential for professionals who want to advance in their careers and stand out in the competitive job market.
Splunk SPLK-4001 certification exam consists of 60 multiple-choice questions that need to be completed in 90 minutes. SPLK-4001 exam covers a broad range of topics, including metrics collection, data analysis, dashboard creation, alerts, and notifications. SPLK-4001 exam is designed to test the candidate's ability to use Splunk's O11y Cloud platform to monitor and troubleshoot issues with infrastructure, applications, and services. Splunk O11y Cloud Certified Metrics User certification validates the candidate's proficiency in using Splunk's O11y Cloud platform to improve operational efficiency, reduce downtime, and enhance security.
NEW QUESTION # 75
When configuring a new receiver to send data to Splunk Observability Cloud, which sections must the new receiver be added to in the OpenTelemetry Collector configuration file? (Choose all that apply.)
Answer: A,B,D
Explanation:
In the OpenTelemetry Collector configuration, a new receiver must be defined under receivers, referenced in a pipeline, and paired with an appropriate exporter to send data to Splunk Observability Cloud.
NEW QUESTION # 76
Which of the following best describes a Metric Time Series (MTS) in Splunk Observability Cloud?
Answer: B
Explanation:
An MTS is defined as the unique combination of a metric name plus a specific set of dimension key-value pairs. Each unique combination creates a distinct time series within the metric.
NEW QUESTION # 77
What tool provides the ability to search metrics and their associated metadata within Splunk Observability Cloud?
Answer: B
Explanation:
Metric Finder is used to search for metrics and view their associated metadata in Splunk Observability Cloud, making it the appropriate tool for locating available metrics and understanding their related dimensions or properties.
NEW QUESTION # 78
A customer deals with a holiday rush of traffic during November each year, but does not want to be flooded with alerts when this happens. The increase in traffic is expected and consistent each year. Which detector condition should be used when creating a detector for this data?
Answer: D
Explanation:
historical anomaly is a detector condition that allows you to trigger an alert when a signal deviates from its historical pattern1. Historical anomaly uses machine learning to learn the normal behavior of a signal based on its past data, and then compares the current value of the signal with the expected value based on the learned pattern1. You can use historical anomaly to detect unusual changes in a signal that are not explained by seasonality, trends, or cycles1.
Historical anomaly is suitable for creating a detector for the customer's data, because it can account for the expected and consistent increase in traffic during November each year. Historical anomaly can learn that the traffic pattern has a seasonal component that peaks in November, and then adjust the expected value of the traffic accordingly1. This way, historical anomaly can avoid triggering alerts when the traffic increases in November, as this is not an anomaly, but rather a normal variation. However, historical anomaly can still trigger alerts when the traffic deviates from the historical pattern in other ways, such as if it drops significantly or spikes unexpectedly1.
NEW QUESTION # 79
Olive is creating a dashboard for her team, and she wants to include instructions on the dashboard for what to do if a metric is outside of a desired range. Which element can she use to add these details to the dashboard?
Answer: B
Explanation:
A Text note element can be added to a dashboard to provide instructions, guidance, or context for users, such as steps to follow when a metric is outside the desired range.
NEW QUESTION # 80
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