PCA PCA Recording Rules & Aggregation 2

Question 1

Which PromQL function is most commonly used in recording rules to compute per-second rates from counters?

Accepted Answer

rate()

Answer

rate() computes the per-second average rate of a counter over a time range and is the standard function for counter-based recording rules.

Question 2

What is the benefit of using `without` instead of `by` in aggregation expressions within recording rules?

Accepted Answer

without drops specified labels and keeps all others, making rules more resilient to new labels being added

Answer

Using without means you only specify labels to remove; any newly added labels are automatically included in the aggregation grouping.

Question 3

In a recording rule, what does the `labels` field allow you to do?

Accepted Answer

Add or overwrite labels on the resulting recorded metric

Answer

The labels field in a recording rule attaches additional static labels to all series written by that rule.

Question 4

Why is it important to align a recording rule's range vector window with its evaluation interval?

Accepted Answer

Using a window shorter than the interval can cause samples to be missed, producing inaccurate rates

Answer

If the range window is shorter than the evaluation interval, some scrape samples may fall outside the window, creating holes in computed rates.

Question 5

What is stale marker handling in the context of Prometheus recording rules?

Accepted Answer

When a source series disappears, Prometheus marks recorded outputs as stale so dashboards show gaps instead of stale values

Answer

Prometheus propagates staleness from input series to recording rule outputs, causing downstream metrics to also show as stale/missing when the source goes away.

(PCA) Prometheus Certified Associate Practice Test

(PCA) Prometheus Certified Associate Practice Test

PCA PCA Recording Rules & Aggregation 2