Objective 2.4
O11y Cloud Certified Metrics UserDiscriminate between types of metadata
Objective 2.4 sits in Metrics Concepts, 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.
Two series carry the same metric name but different host values, and Observability Cloud keeps them apart. What separates dimensions from custom properties here?
Correct.
Checked against help.splunk.com, August 2026Concept
Only the attributes present at ingest can identify a series. Anything attached afterwards describes it without changing which series it is.
Why C
Splunk documents that dimensions are sent in with the MTS at ingest and, along with the metric name, uniquely identify the MTS, while custom properties do not contribute to identifying it.
Source
Splunk Docs: Metadata: Dimensions, custom properties, tags, and attributes, checked August 2026Sent in with metric time series (MTS) at the time of ingest to add context to metrics. Along with the metric name, they uniquely identify the MTS. Dimension names do not change over time.
Now you: objective 2.4 questions
No account needed. The explanation opens when you answer.
Sample question 1 of 2
An analyst marks a set of dimensions as production after the data has already arrived, then filters charts on that marking. What are tags in Observability Cloud?
Sample question 2 of 2
An engineer adds a custom property to an existing series and no new series appears. Compared with dimensions, what do custom properties not do?
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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.