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Achieving Splunk O11y Cloud Certified Metrics User certification by passing the SPLK-4001 Exam demonstrates a professional's ability to use Splunk's cloud-based platform for monitoring, troubleshooting, and analyzing system performance. Splunk O11y Cloud Certified Metrics User certification also validates that the individual has a deep understanding of the use of metrics for performance analysis and troubleshooting. Splunk O11y Cloud Certified Metrics User certification is a valuable asset for professionals who work with Splunk's O11y Cloud platform and want to demonstrate their expertise in using the platform for monitoring and analysis.

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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.

Splunk SPLK-4001 Certification Exam is ideal for professionals who work in roles such as DevOps engineers, cloud architects, IT administrators, and operations managers. By earning this certification, individuals can demonstrate their skills and knowledge in using Splunk software to monitor and troubleshoot cloud-based applications, and can enhance their career prospects in the field of IT operations.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q44-Q49):

NEW QUESTION # 44
The built-in Kubernetes Navigator includes which of the following?

A. Map, Nodes, Processors, Node Detail, Workload Detail, Pod Detail, Container Detail
B. Map, Clusters, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail
C. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail
D. Map, Nodes, Workloads, Node Detail, Workload Detail, Group Detail, Container Detail

Answer: C

Explanation:
Explanation
The correct answer is D. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail.
The built-in Kubernetes Navigator is a feature of Splunk Observability Cloud that provides a comprehensive and intuitive way to monitor the performance and health of Kubernetes environments. It includes the following views:
Map: A graphical representation of the Kubernetes cluster topology, showing the relationships and dependencies among nodes, pods, containers, and services. You can use the map to quickly identify and troubleshoot issues in your cluster1 Nodes: A tabular view of all the nodes in your cluster, showing key metrics such as CPU utilization, memory usage, disk usage, and network traffic. You can use the nodes view to compare and analyze the performance of different nodes1 Workloads: A tabular view of all the workloads in your cluster, showing key metrics such as CPU utilization, memory usage, network traffic, and error rate. You can use the workloads view to compare and analyze the performance of different workloads, such as deployments, stateful sets, daemon sets, or jobs1 Node Detail: A detailed view of a specific node in your cluster, showing key metrics and charts for CPU utilization, memory usage, disk usage, network traffic, and pod count. You can also see the list of pods running on the node and their status. You can use the node detail view to drill down into the performance of a single node2 Workload Detail: A detailed view of a specific workload in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and pod count. You can also see the list of pods belonging to the workload and their status. You can use the workload detail view to drill down into the performance of a single workload2 Pod Detail: A detailed view of a specific pod in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and container count. You can also see the list of containers within the pod and their status. You can use the pod detail view to drill down into the performance of a single pod2 Container Detail: A detailed view of a specific container in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and log events. You can use the container detail view to drill down into the performance of a single container2 To learn more about how to use Kubernetes Navigator in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Kubernetes-Navigator 2:
https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Detail-pages 3:
https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html

NEW QUESTION # 45
A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?

A. Tlmeshift
B. Sum transformation
C. Standard deviation
D. Rate

Answer: A

Explanation:
Explanation
The correct answer is C. Timeshift.
According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code:
timeshift(1w, counters("server.utilization"))
This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.

NEW QUESTION # 46
Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

A. /etc/system/default/
B. /etc/opentelemetry/
C. /opt/splunk/
D. /etc/otel/collector/

Answer: D

Explanation:
Explanation
The correct answer is B. /etc/otel/collector/
According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.
To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2:
https://docs.splunk.com/Observability/gdi/opentelemetry.html

NEW QUESTION # 47
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

A. gRPC (4317), SignalFx (9080), Fluentd (8006)
B. gRPC (4459), SignalFx (9166), Fluentd (8956)
C. gRPC (6831), SignalFx (4317), Fluentd (9080)
D. gRPC (4000), SignalFx (9943), Fluentd (6060)

Answer: A

Explanation:
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html

NEW QUESTION # 48
The built-in Kubernetes Navigator includes which of the following?

A. Map, Nodes, Processors, Node Detail, Workload Detail, Pod Detail, Container Detail
B. Map, Clusters, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail
C. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail
D. Map, Nodes, Workloads, Node Detail, Workload Detail, Group Detail, Container Detail

Answer: C

Explanation:
The correct answer is D. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail.
The built-in Kubernetes Navigator is a feature of Splunk Observability Cloud that provides a comprehensive and intuitive way to monitor the performance and health of Kubernetes environments. It includes the following views:
Map: A graphical representation of the Kubernetes cluster topology, showing the relationships and dependencies among nodes, pods, containers, and services. You can use the map to quickly identify and troubleshoot issues in your cluster1 Nodes: A tabular view of all the nodes in your cluster, showing key metrics such as CPU utilization, memory usage, disk usage, and network traffic. You can use the nodes view to compare and analyze the performance of different nodes1 Workloads: A tabular view of all the workloads in your cluster, showing key metrics such as CPU utilization, memory usage, network traffic, and error rate. You can use the workloads view to compare and analyze the performance of different workloads, such as deployments, stateful sets, daemon sets, or jobs1 Node Detail: A detailed view of a specific node in your cluster, showing key metrics and charts for CPU utilization, memory usage, disk usage, network traffic, and pod count. You can also see the list of pods running on the node and their status. You can use the node detail view to drill down into the performance of a single node2 Workload Detail: A detailed view of a specific workload in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and pod count. You can also see the list of pods belonging to the workload and their status. You can use the workload detail view to drill down into the performance of a single workload2 Pod Detail: A detailed view of a specific pod in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and container count. You can also see the list of containers within the pod and their status. You can use the pod detail view to drill down into the performance of a single pod2 Container Detail: A detailed view of a specific container in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and log events. You can use the container detail view to drill down into the performance of a single container2 To learn more about how to use Kubernetes Navigator in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Kubernetes-Navigator 2: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Detail-pages 3: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html

NEW QUESTION # 49
......

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Splunk - SPLK-4001 - High Hit-Rate Splunk O11y Cloud Certified Metrics User Valid Vce Dumps

SPLK-4001 New Study Guide, New SPLK-4001 Test Blueprint

Splunk O11y Cloud Certified Metrics User Sample Questions (Q44-Q49):

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