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| Section | Weight | Objectives |
|---|---|---|
| Intro to Alerting on Metrics using Detectors | 10% | - Make the detector from a chart - Clone an existing detector - Make a solo detector - Make a muting rule |
| 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 - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Interact with data using built-in content - Subscribe to alerts |
| Introduction to Metric Visualization | 15% | - Create widgets and showcase groups - Create charts and dashboards - Visualize a measure in a chart - Look for metrics - Analyze data in charts - Use rollups and analytical tools correctly - Differentiate between several chart visualization types |
| Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Discriminate between types of metadata - List the components of a datapoint - Data resolution, rollups |
| Get Metrics In with OpenTelemetry | 10% | - Edit the configuration - Troubleshooting common errors - Deploy the OTel Collector on Linux - General OpenTelemetry Concepts - Configure the OTel Collector |
| Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - Include instructions on interfaces - Configure personal information linkages - View dashboard happenings |
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NEW QUESTION # 84
Which of the following are accurate reasons to clone a detector? (select all that apply)
Answer: A,C
Explanation:
Explanation
The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector.
B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector. TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector's alerts. Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector's alerts, you need to edit the alert settings of the detector.
NEW QUESTION # 85
To refine a search for a metric a customer types host: test-*. What does this filter return?
Answer: D
Explanation:
Explanation
The correct answer is A. Only metrics with a dimension of host and a value beginning with test-.
This filter returns the metrics that have a host dimension that matches the pattern test-. For example, test-01, test-abc, test-xyz, etc. The asterisk () is a wildcard character that can match any string of characters1 To learn more about how to filter metrics in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2:
https://docs.splunk.com/Observability/gdi/metrics/search.html
NEW QUESTION # 86
Which of the following visualization types exist within Splunk Observability Cloud? (Choose all that apply.)
Answer: A,B,C
Explanation:
Splunk Observability Cloud supports Table, Single Value, and Pie Chart visualizations to present metric data in structured, summarized, and categorical forms, enabling flexible analysis and reporting.
NEW QUESTION # 87
Which analytic function can be used to discover peak page visits for a site over the last day?
Answer: A
Explanation:
According to the Splunk Observability Cloud documentation1, the maximum function is an analytic function that returns the highest value of a metric or a dimension over a specified time interval. The maximum function can be used as a transformation or an aggregation. A transformation applies the function to each metric time series (MTS) individually, while an aggregation applies the function to all MTS and returns a single value. For example, to discover the peak page visits for a site over the last day, you can use the following SignalFlow code:
maximum(24h, counters("page.visits"))
This will return the highest value of the page.visits counter metric for each MTS over the last 24 hours. You can then use a chart to visualize the results and identify the peak page visits for each MTS.
NEW QUESTION # 88
Which chart visualization types display only the most recent value?
Answer: A
Explanation:
Single Value, List, Heatmap, and Table visualizations can be configured to display only the most recent value of a metric, providing an immediate snapshot rather than a time series trend.
NEW QUESTION # 89
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