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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Metric Visualization | 15% | - Visualize a measure in a chart - Look for metrics - Create widgets and showcase groups - Differentiate between several chart visualization types - Create charts and dashboards - Analyze data in charts - 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 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 |
| Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint - Discriminate between types of metadata - Data resolution, rollups |
| Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - Include instructions on interfaces - Configure personal information linkages - View dashboard happenings |
| Intro to Alerting on Metrics using Detectors | 10% | - Make a muting rule - Make a solo detector - Clone an existing detector - Make the detector from a chart |
| Get Metrics In with OpenTelemetry | 10% | - Troubleshooting common errors - Deploy the OTel Collector on Linux - General OpenTelemetry Concepts - Edit the configuration - Configure the OTel Collector |
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NEW QUESTION # 44
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?
Answer: A
Explanation:
According to the Splunk Observability Cloud documentation, 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 # 45
A customer is experiencing an issue where their detector is not sending email notifications but is generating alerts within the Splunk Observability UI. Which of the below is the root cause?
Answer: A
Explanation:
The most likely root cause of the issue is D. The detector has a muting rule.
A muting rule is a way to temporarily stop a detector from sending notifications for certain alerts, without disabling the detector or changing its alert conditions. A muting rule can be useful when you want to avoid alert noise during planned maintenance, testing, or other situations where you expect the metrics to deviate from normal1 When a detector has a muting rule, it will still generate alerts within the Splunk Observability UI, but it will not send email notifications or any other types of notifications that you have configured for the detector. You can see if a detector has a muting rule by looking at the Muting Rules tab on the detector page. You can also create, edit, or delete muting rules from there1 To learn more about how to use muting rules in Splunk Observability Cloud, you can refer to this documentation1.
NEW QUESTION # 46
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: B,C,D
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 organization.
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 point.
NEW QUESTION # 47
Which of the following statements are true about local data links? (select all that apply)
Answer: A,B
Explanation:
According to the Get started with Splunk Observability Cloud document, one of the topics that is covered in the Getting Data into Splunk Observability Cloud course is global and local data links.
Data links are shortcuts that provide convenient access to related resources, such as Splunk Observability Cloud dashboards, Splunk Cloud Platform and Splunk Enterprise, custom URLs, and Kibana logs. The document explains that there are two types of data links: global and local.
Global data links are available on all dashboards and charts, while local data links are available on only one dashboard. The document also provides the following information about local data links:
Anyone with write permission for a dashboard can add local data links that appear on that dashboard.
Local data links can have either a Splunk Observability Cloud internal destination or an external destination, such as a custom URL or a Kibana log.
Only Splunk Observability Cloud administrators can delete local data links.
NEW QUESTION # 48
Clicking a metric name from the results in metric finder displays the metric in Chart Builder. What action needs to be taken in order to save the chart created in the UI?
Answer: B
Explanation:
Explanation
According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder1. Chart Builder is a tool that allows you to create and customize charts using metrics, dimensions, and analytics functions2. To save the chart created in the UI, you need to do the following steps:
Click the Save button on the top right corner of the Chart Builder. This will open a dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.
Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the chart.
Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon. A dashboard is a collection of charts that display metrics and events for your services or hosts3. You can organize and share dashboards with other users in your organization using dashboard groups3.
Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view.
You can also access your saved chart from the Dashboards menu on the left navigation bar.
NEW QUESTION # 49
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