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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metrics Concepts | 15% | - List the components of a datapoint - Discriminate between types of metadata - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints |
| Topic 2: Introduction to Metric Visualization | 15% | - Create charts and dashboards - Use rollups and analytical tools correctly - Look for metrics - Analyze data in charts - Create widgets and showcase groups - Differentiate between several chart visualization types - Visualize a measure in a chart |
| Topic 3: Create Efficient Dashboards and Alerts | 10% | - Configure personal information linkages - Create single-instance dashboard panels - View dashboard happenings - Include instructions on interfaces |
| Topic 4: Monitor Using Built-in Content | 10% | - Subscribe to alerts - Interact with data using built-in content - Use the Cluster Analyzer to pinpoint the root of some problems - 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 |
| Topic 5: Intro to Alerting on Metrics using Detectors | 10% | - Clone an existing detector - Make a muting rule - Make a solo detector - Make the detector from a chart |
| Topic 6: Get Metrics In with OpenTelemetry | 10% | - Edit the configuration - General OpenTelemetry Concepts - Troubleshooting common errors - Configure the OTel Collector - Deploy the OTel Collector on Linux |
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NEW QUESTION # 33
An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds. Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms. How can the number of alerts be reduced?
Answer: A
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document, trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes.
This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.
NEW QUESTION # 34
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 # 35
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?
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 organization.
You can create dashboard groups based on different criteria, such as service, team, role, or topic.
You can also set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group. Dashboard groups make it possible to share a collection of charts with your entire SRE organization, or any other group of users that you want to collaborate with.
NEW QUESTION # 36
For a high-resolution metric, what is the highest possible native resolution of the metric?
Answer: B
Explanation:
Explanation
The correct answer is C. 1 second.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is data resolution and rollups. Data resolution refers to the granularity of the metric data points, and rollups are the process of aggregating data points over time to reduce the amount of data stored.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Data Resolution and Rollups, which explains that Splunk Observability Cloud collects high-resolution metrics at 1-second intervals by default, and then applies rollups to reduce the data volume over time. The document also provides a table that shows the different rollup intervals and retention periods for different resolutions.
Therefore, based on these documents, we can conclude that for a high-resolution metric, the highest possible native resolution of the metric is 1 second.
NEW QUESTION # 37
A customer has put a lot of time into building a detector with multiple signals, analytics, and filters.
That customer wants to create an identical detector, but change the metric. What is the process to do so?
Answer: B
Explanation:
Cloning a detector creates an identical copy of the existing detector, preserving its signals, analytics, filters, and configuration so the customer can modify only the metric as needed.
NEW QUESTION # 38
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