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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Subscribe to alerts - Use the Cluster Analyzer to pinpoint the root of some problems - Interact with data using built-in content - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution |
| Topic 2: Metrics Concepts | 15% | - Discriminate between types of metadata - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint |
| Topic 3: Introduction to Metric Visualization | 15% | - Visualize a measure in a chart - Differentiate between several chart visualization types - Look for metrics - Use rollups and analytical tools correctly - Analyze data in charts - Create charts and dashboards - Create widgets and showcase groups |
| Topic 4: Get Metrics In with OpenTelemetry | 10% | - Troubleshooting common errors - General OpenTelemetry Concepts - Deploy the OTel Collector on Linux - Configure the OTel Collector - Edit the configuration |
| Topic 5: Create Efficient Dashboards and Alerts | 10% | - Configure personal information linkages - Create single-instance dashboard panels - View dashboard happenings - Include instructions on interfaces |
| Topic 6: Intro to Alerting on Metrics using Detectors | 10% | - Make a muting rule - Clone an existing detector - Make the detector from a chart - Make a solo detector |
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NEW QUESTION # 58
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 # 59
The built-in Kubernetes Navigator includes which of the following?
Answer: D
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 # 60
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 # 61
Interpreting data in charts can be affected by which of the following? (Choose all that apply.)
Answer: A,B,C
Explanation:
Chart interpretation can be affected by rollups, analytic functions, and chart resolution because each can change how raw metric data is summarized, transformed, or visually represented over the selected time range.
NEW QUESTION # 62
A customer is sending in datapoints regarding the number of API calls made to a particular service. The datapoints are being sent every 10 seconds, and represent the number of API calls seen in the last 10 seconds. What metric type is this?
Answer: D
Explanation:
A gauge metric represents a value measured at a specific point in time or over a defined interval.
In this scenario, the datapoints indicate the number of API calls observed in each 10-second interval, which aligns with the characteristics of a gauge metric.
NEW QUESTION # 63
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