PCA Promql Practice Question
Which TWO of the following statements regarding native histograms in Prometheus are correct? (Choose TWO)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The histogram_quantile() function can evaluate native histograms directly.
Native histograms store multiple buckets within a single chunk/sample, reducing storage overhead and allowing dynamic bucket resolutions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Native histograms require users to manually pre-define explicit bucket boundaries in application code.
Why it's wrong here
A key benefit of native histograms is geometric bucket definition without manual configuration.
- ✓
The histogram_quantile() function can evaluate native histograms directly.
Why this is correct
Correct. histogram_quantile() supports native histograms seamlessly.
- ✓
Native histograms store bucket distributions within a single time series sample.
Why this is correct
Correct. Native histograms bundle multiple buckets together efficiently.
- ✗
Native histograms are incompatible with all rate-related PromQL functions.
Why it's wrong here
Rate functions work with native histograms to calculate per-second distributions.
- ✗
Native histograms double the memory consumption of traditional counters.
Why it's wrong here
They typically optimize storage compared to traditional multi-metric classical histograms.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official CNCF / Linux Foundation exam blueprint
This PCA practice question is part of Courseiva's free CNCF / Linux Foundation certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.