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| Section | Weight | Objectives |
|---|---|---|
| Intro to Alerting on Metrics using Detectors | 10% | - Make the detector from a chart - Make a solo detector - Clone an existing detector - Make a muting rule |
| Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - Include instructions on interfaces - Configure personal information linkages - View dashboard happenings |
| Get Metrics In with OpenTelemetry | 10% | - Troubleshooting common errors - General OpenTelemetry Concepts - Configure the OTel Collector - Edit the configuration - Deploy the OTel Collector on Linux |
| Metrics Concepts | 15% | - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint - Discriminate between types of metadata |
| Introduction to Metric Visualization | 15% | - Differentiate between several chart visualization types - Analyze data in charts - Create charts and dashboards - Visualize a measure in a chart - Look for metrics - Create widgets and showcase groups - Use rollups and analytical tools correctly |
| Monitor Using Built-in Content | 10% | - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Cluster Analyzer to pinpoint the root of some problems - Subscribe to alerts - Interact with data using built-in content - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers |
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NEW QUESTION # 103
What are all the possible components of a datapoint in Splunk Observability Cloud?
Answer: C
Explanation:
A datapoint in Splunk Observability Cloud includes the metric type, metric name, dimensions, metric value, and timestamp. These components identify what is being measured, provide contextual metadata, record the measured value, and associate it with a specific time.
NEW QUESTION # 104
A customer has a single-instance dashboard that multiple teams within their organization use to track different environments. What is the best way to make it more tailored for all teams without adding filters into the signal or adding more signals?
Answer: B
Explanation:
Dashboard variables allow the same dashboard to be dynamically filtered for different teams or environments without modifying the underlying signals, providing a tailored view for each team efficiently.
NEW QUESTION # 105
How is it possible to create a dashboard group that no one else can edit?
Answer: A
Explanation:
According to the web search results, dashboard groups are a feature of Splunk Observability Cloud that allows you to organize and share dashboards with other users in your organization1. You can set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group1. To create a dashboard group that no one else can edit, you need to do the following steps:
Create a dashboard group as usual, by selecting Dashboard Group from the Create menu on the navigation bar, entering a name and description, and adding dashboards to the group1.
Select Alert settings from the Dashboard actions menu (⋯) on the top right corner of the dashboard group. This will open a dialog box where you can configure the permissions for the dashboard group1.
Under Write access, select Only me. This will restrict the write access to the dashboard group to yourself only. No one else will be able to edit or delete the dashboards in the group1.
Click Save. This will create a dashboard group that no one else can edit.
NEW QUESTION # 106
What Pod conditions does the Analyzer panel in Kubernetes Navigator monitor? (select all that apply)
Answer: A,B,C,D
Explanation:
Explanation
The Pod conditions that the Analyzer panel in Kubernetes Navigator monitors are:
Not Scheduled: This condition indicates that the Pod has not been assigned to a Node yet. This could be due to insufficient resources, node affinity, or other scheduling constraints1 Unknown: This condition indicates that the Pod status could not be obtained or is not known by the system. This could be due to communication errors, node failures, or other unexpected situations1 Failed: This condition indicates that the Pod has terminated in a failure state. This could be due to errors in the application code, container configuration, or external factors1 Pending: This condition indicates that the Pod has been accepted by the system, but one or more of its containers has not been created or started yet. This could be due to image pulling, volume mounting, or network issues1 Therefore, the correct answer is A, B, C, and D.
To learn more about how to use the Analyzer panel in Kubernetes Navigator, you can refer to this documentation2.
1: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#pod-phase 2:
https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Analyzer-panel
NEW QUESTION # 107
Which of the following are ways to reduce flapping of a detector? (select all that apply)
Answer: A,B
Explanation:
According to the Splunk Lantern article Resolving flapping detectors in Splunk Infrastructure Monitoring, flapping is a phenomenon where alerts fire and clear repeatedly in a short period of time, due to the signal fluctuating around the threshold value. To reduce flapping, the article suggests the following ways:
Configure a duration or percent of duration for the alert: This means that you require the signal to stay above or below the threshold for a certain amount of time or percentage of time before triggering an alert. This can help filter out noise and focus on more persistent issues. Apply a smoothing transformation (like a rolling mean) to the input data for the detector: This means that you replace the original signal with the average of its last several values, where you can specify the window length. This can reduce the impact of a single extreme observation and make the signal less fluctuating.
NEW QUESTION # 108
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