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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Metric Visualization | 15% | - Look for metrics - Differentiate between several chart visualization types - Visualize a measure in a chart - Create charts and dashboards - Analyze data in charts - Use rollups and analytical tools correctly - Create widgets and showcase groups |
| Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Interact with data using built-in content - Subscribe to alerts - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Cluster Analyzer to pinpoint the root of some problems |
| Get Metrics In with OpenTelemetry | 10% | - Deploy the OTel Collector on Linux - Configure the OTel Collector - General OpenTelemetry Concepts - Edit the configuration - Troubleshooting common errors |
| Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Make the detector from a chart - Make a muting rule - Clone an existing detector |
| 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 |
| Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Create single-instance dashboard panels - Include instructions on interfaces - Configure personal information linkages |
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NEW QUESTION # 63
What is the finest resolution that Calendar Window Transformation datapoints can be calculated and displayed?
Answer: B
Explanation:
Calendar Window Transformation datapoints are calculated and displayed at the native resolution of the input time series, ensuring that the aggregation respects the original granularity of the metric data.
NEW QUESTION # 64
Which of the following are true about organization metrics? (select all that apply)
Answer: B,C,D
Explanation:
Explanation
The correct answer is A, C, and D. Organization metrics give insights into system usage, system limits, data ingested and token quotas. Organization metrics are included for free. A user can plot and alert on them like metrics they send to Splunk Observability Cloud.
Organization metrics are a set of metrics that Splunk Observability Cloud provides to help you measure your organization's usage of the platform. They include metrics such as:
Ingest metrics: Measure the data you're sending to Infrastructure Monitoring, such as the number of data points you've sent.
App usage metrics: Measure your use of application features, such as the number of dashboards in your organization.
Integration metrics: Measure your use of cloud services integrated with your organization, such as the number of calls to the AWS CloudWatch API.
Resource metrics: Measure your use of resources that you can specify limits for, such as the number of custom metric time series (MTS) you've created1 Organization metrics are not charged and do not count against any system limits. You can view them in built-in charts on the Organization Overview page or in custom charts using the Metric Finder. You can also create alerts based on organization metrics to monitor your usage and performance1 To learn more about how to use organization metrics in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/observability/admin/org-metrics.html
NEW QUESTION # 65
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?
Answer: C
Explanation:
Explanation
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1 To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.
NEW QUESTION # 66
An SRE creates an event feed chart in a dashboard that shows a list of events that meet criteria they specify. Which of the following should they include? (select all that apply)
Answer: A,B,C
Explanation:
According to the web search results1, an event feed chart is a type of chart that shows a list of events that meet criteria you specify. An event feed chart can display one or more event types depending on how you specify the criteria. The event types that you can include in an event feed chart are:
Custom events that have been sent in from an external source: These are events that you have created or received from a third-party service or tool, such as AWS CloudWatch, GitHub, Jenkins, or PagerDuty. You can send custom events to Splunk Observability Cloud using the API or the Event Ingest Service.
Events created when a detector triggers or clears an alert: These are events that are automatically generated by Splunk Observability Cloud when a detector evaluates a metric or dimension and finds that it meets the alert condition or returns to normal. You can create detectors to monitor and alert on various metrics and dimensions using the UI or the API.
Therefore, option A, B, and D are correct.
NEW QUESTION # 67
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?
Answer: C
Explanation:
According to the Splunk Observability Cloud documentation1, lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.
NEW QUESTION # 68
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