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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - Troubleshooting common errors - General OpenTelemetry Concepts - Deploy the OTel Collector on Linux - Edit the configuration |
| Topic 2: Introduction to Metric Visualization | 15% | - Visualize a measure in a chart - Create widgets and showcase groups - Differentiate between several chart visualization types - Use rollups and analytical tools correctly - Look for metrics - Create charts and dashboards - Analyze data in charts |
| Topic 3: Monitor Using Built-in Content | 10% | - Interact with data using built-in content - Subscribe to alerts - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Use the Cluster Analyzer to pinpoint the root of some problems - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution |
| Topic 4: Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Discriminate between types of metadata - Data resolution, rollups - List the components of a datapoint |
| Topic 5: Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Include instructions on interfaces - Create single-instance dashboard panels - Configure personal information linkages |
| Topic 6: Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Clone an existing detector - Make a muting rule - Make the detector from a chart |
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NEW QUESTION # 46
Which feature allows users to receive an alert notification via Slack, email, or PagerDuty when a detector triggers?
Answer: B
Explanation:
Notification integrations allow detectors to send alerts to external systems such as Slack, email, PagerDuty, and others, ensuring the right teams are notified when an alert condition is triggered.
NEW QUESTION # 47
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard? (select all that apply)
Answer: B,C
Explanation:
The chart visualization types that are unaffected by changing the time picker on a dashboard are:
Single Value: A single value chart shows the current value of a metric or an expression. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart1 List: A list chart shows the values of a metric or an expression for each dimension value in a table format. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart2 Therefore, the correct answer is A and D.
To learn more about how to use different chart visualization types in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Single-value 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#List 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html
NEW QUESTION # 48
When metrics in a detector have different dimensions, a correlation conflict can occur, which prevents an alert from firing. Which of the choices below is the best method to resolve a correlation conflict?
Answer: B
Explanation:
Applying an aggregate analytic function resolves correlation conflicts by summarizing metrics with different dimensions into a common value, allowing the detector to evaluate the alert condition across all relevant metrics consistently.
NEW QUESTION # 49
For a high-resolution metric, what is the highest possible native resolution of the metric?
Answer: D
Explanation:
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 document, 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 # 50
Given that the metric demo. trans. count is being sent at a 10 second native resolution, which of the following is an accurate description of the data markers displayed in the chart below?
Answer: C
Explanation:
The correct answer is D. Each data marker represents the sum of API calls in the hour leading up to the data marker.
The metric demo.trans.count is a cumulative counter metric, which means that it represents the total number of API calls since the start of the measurement. A cumulative counter metric can be used to measure the rate of change or the sum of events over a time period1 The chart below shows the metric demo.trans.count with a one-hour rollup and a line chart type. A rollup is a way to aggregate data points over a specified time interval, such as one hour, to reduce the number of data points displayed on a chart. A line chart type connects the data points with a line to show the trend of the metric over time2 Each data marker on the chart represents the sum of API calls in the hour leading up to the data marker. This is because the rollup function for cumulative counter metrics is sum by default, which means that it adds up all the data points in each time interval. For example, the data marker at 10:00 AM shows the sum of API calls from 9:00 AM to 10:00 AM3 To learn more about how to use metrics and charts in Splunk Observability Cloud, you can refer to these documentations123.
1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Metric-types 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Data-resolution-and-rollups-in-charts 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Rollup-functions-for-metric-types
NEW QUESTION # 51
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