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The Splunk O11y Cloud Certified Metrics User exam is the final step towards the completion of the Splunk O11y Cloud Certified Metrics User certification. By becoming a Splunk O11y Cloud Certified Metrics User, you can validate your skills in Splunk Observability Cloud monitoring, metrics, analytics, alerting with detectors, OpenTelemetry, and Kubernetes. This certification will not only enhance your Splunk Observability Cloud monitoring capabilities but also allow you to go beyond logs and utilize real-time monitoring at scale for every layer of the development environment. You will have the opportunity to work with OpenTelemetry, gain valuable insights through analytics, visualize metrics, create efficient dashboards, and effectively alert with detectors.

This comprehensive exam establishes a solid baseline for users of Splunk Observability Cloud. By successfully completing this exam, you will be able to take your monitoring to new heights and establish yourself as an observability professional. With the Splunk O11y Cloud Certified Metrics User certification, you will have the knowledge and expertise to demonstrate the key concepts and features that are critical to maximizing the benefits of Splunk Observability Cloud.

Level: Foundational

Prerequisites: None

Length: 60 minutes

Format: 54 multiple-choice questions

Pricing: $130 USD per exam attempt

Delivery: Exam is given by our testing partner, Pearson VUE

1.1 Deploy the OTel Collector on Linux

1.2 Configure the OTel Collector

1.3 Edit the configuration

1.4 Troubleshooting common errors

1.5 General OpenTelemetry Concepts

2.1 Data resolution, rollups

2.2 List the components of a datapoint

2.3 Define components of the Splunk IM Data Model, Metrics, MTS, datapoints

2.4 Discriminate between types of metadata

3.1 Interact with data using built-in content

3.2 Correctly interpret data in charts based on rollups, analytic functions, and chart resolution

3.3 Subscribe to alerts

3.4 Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers

3.5 Use the Cluster Analyzer to pinpoint the root of some problems

3.6 Use built-in Kubernetes Dashboards to investigate and troubleshoot

4.1 Create charts, dashboards

4.2 Search for metrics

4.3 Visualize a metric in a chart

4.4 Create dashboards and dashboard groups

4.5 Distinguish between different chart visualization types

4.6 Correctly apply rollups and analytic functions

4.7 Interpret data in charts

5.1 Create a detector from a chart

5.2 Clone a detector

5.3 Create a standalone detector

5.4 Create a muting rule

6.1 Add instructions to dashboards

6.2 Create single-instance dashboards

6.3 View events on dashboards

6.4 Configure local data links

6.5 Customize alert messages

6.6 Troubleshoot charts and alerts (Impact of late datapoints; extrapolation policy, etc.)

7.1 Finding total value across all sources

7.2 Combining plots in charts

7.3 View and alert on weekly, daily, or hourly comparisons

7.4 Use percentages and ratios to understand trends

7.5 Apply analytic functions over moving and calendar time windows

7.6 Apply analytics functions to a subset of MTS in a signal

8.1 Identify common issues with detectors

8.2 Troubleshoot a detector

8.3 Create detectors to monitor populations

8.4 Create non-flapping detectors

8.5 Monitor metrics with cyclic patterns

8.6 Monitor a large number of sources

8.7 Monitor an ephemeral infrastructure

1. An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?

A.The new signals will be reflected in the original detector.

B.The new signals will be reflected in the original chart.

C.You can only monitor one of the new signals.

D.The new signals will not be added to the original detector.

Answer: D

2. Which of the following are required in the configuration of a data point? (select all that apply)

A.Metric Name

B.Metric Type

C.Timestamp

D.Value

Answer: A, C, D

3. For which types of charts can individual plot visualization be set?

A.Line, Bar, Column

B.Bar, Area, Column

C.Line, Area, Column

D.Histogram, Line, Column

Answer: C

4. Which of the following statements is true of detectors created from a chart on a custom dashboard?

A.Changes made to the chart affect the detector.

B.Changes made to the detector affect the chart.

C.The alerts will show up in the team landing page.

D.The detector is automatically linked to the chart.

Answer: D

5. What happens when the limit of allowed dimensions is exceeded for an MTS?

A.The additional dimensions are dropped.

B.The datapoint is averaged.

C.The datapoint is updated.

D.The datapoint is dropped.

Answer: A

6. The alert recipients tab specifies where notification messages should be sent when alerts are triggered or cleared. Which of the below options can be used? (select all that apply)

A.Invoke a webhook URL.

B.Export to CSV.

C.Send an SMS message.

D.Send to email addresses.

Answer: A, C, D