Objective 8.3
O11y Cloud Certified Metrics UserCreate detectors to monitor populations
Objective 8.3 sits in Detectors for Common Use Cases, which carries 15% of the O11y Cloud Certified Metrics User exam. The questions below are original, written from the official objective title above, and each explanation cites the Splunk page it rests on.
Objective title verbatim from the official objectives. Splunk exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
An analyst must watch CPU across thirty hosts in one cluster. What does Splunk document as the efficient approach?
Correct.
Checked against help.splunk.com, August 2026Concept
Filtering by a shared dimension makes population size irrelevant to the number of objects you maintain. That is the whole argument for metadata-driven alerting.
Why B
Splunk documents creating a single detector that filters hosts using the service dimension and evaluates them against the threshold, which triggers individual alerts for each host.
Source
Splunk Docs: Best practices for creating detectors in Splunk Observability Cloud, checked August 2026In this case, if you want to track whether CPU utilization remains below 70% for each of those hosts, you can create a single detector for the cpu.utilization metric that filters hosts using the service:kafka dimension and evaluates them against the static threshold of 70.
Now you: objective 8.3 questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
An analyst asks when a single population detector works best. What condition does Splunk document?
Sample question 2 of 3
An analyst wants the 95th percentile of CPU per service across a hundred hosts. Which approach does Splunk document?
Sample question 3 of 3
An analyst groups a detector by service and finds it does not work. Which metadata kind does Splunk document as unsupported for that?
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Read the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.