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| Section | Weight | Objectives |
|---|---|---|
| Monitor Using Built-in Content | 10% | - Interact with data using built-in content - 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 - Subscribe to alerts |
| Metrics Concepts | 15% | - Data resolution, rollups - Discriminate between types of metadata - List the components of a datapoint - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints |
| Get Metrics In with OpenTelemetry | 10% | - General OpenTelemetry Concepts - Troubleshooting common errors - Deploy the OTel Collector on Linux - Edit the configuration - Configure the OTel Collector |
| Introduction to Metric Visualization | 15% | - Create charts and dashboards - Create widgets and showcase groups - Analyze data in charts - Visualize a measure in a chart - Use rollups and analytical tools correctly - Differentiate between several chart visualization types - Look for metrics |
| Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Create single-instance dashboard panels - Configure personal information linkages - Include instructions on interfaces |
| Intro to Alerting on Metrics using Detectors | 10% | - Make a muting rule - Make a solo detector - Make the detector from a chart - Clone an existing detector |
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NEW QUESTION # 102
When configuring a new receiver to send data to Splunk Observability Cloud, which sections must the new receiver be added to in the OpenTelemetry Collector configuration file? (Choose all that apply.)
Answer: A,B,D
Explanation:
In the OpenTelemetry Collector configuration, a new receiver must be defined under receivers, referenced in a pipeline, and paired with an appropriate exporter to send data to Splunk Observability Cloud.
NEW QUESTION # 103
A customer is experiencing issues getting metrics from a new receiver they have configured in the OpenTelemetry Collector. How would the customer go about troubleshooting further with the logging exporter?
Answer: C
Explanation:
The logging exporter is a component that allows the OpenTelemetry Collector to send traces, metrics, and logs directly to the console. It can be used to diagnose and troubleshoot issues with telemetry received and processed by the Collector, or to obtain samples for other purposes. To activate the logging exporter, you need to add it to the pipeline that you want to diagnose. In this case, since you are experiencing issues with a new receiver for metrics, you need to add the logging exporter to the metrics receiver pipeline. This will create a new plot that shows the metrics received by the Collector and any errors or warnings that might occur. The image that you have sent with your question shows how to add the logging exporter to the metrics receiver pipeline. You can see that the exporters section of the metrics pipeline includes logging as one of the options. This means that the metrics received by any of the receivers listed in the receivers section will be sent to the logging exporter as well as to any other exporters listed.
NEW QUESTION # 104
What information is needed to create a detector?
Answer: C
Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.
NEW QUESTION # 105
What is the recommended approach to monitor a large number of metric time series (MTS)?
Answer: C
Explanation:
Using dimensions to filter and break down metric time series allows you to organize and manage large numbers of MTS efficiently. Dimensions provide context and enable grouping, filtering, and targeted analysis without overwhelming dashboards or alerts.
NEW QUESTION # 106
Which of the following are true about organization metrics? (select all that apply)
Answer: A,C,D
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 # 107
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