PCA Observability Concepts Practice Question
Which THREE items are standard techniques to reduce metric cardinality?
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
✓
Aggregating raw metrics into broader categories.
Dropping labels, aggregating metrics, and limiting metric frequency are standard ways to reduce cardinality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Aggregating raw metrics into broader categories.
Why this is correct
Reduces the number of individual series.
- ✗
Increasing the scrape interval.
Why it's wrong here
Does not reduce series count.
- ✓
Dropping unused labels via relabeling.
Why this is correct
Reduces time series uniqueness.
- ✓
Using histograms with fewer buckets.
Why this is correct
Reduces the number of time series created.
- ✗
Adding unique IDs to every label.
Why it's wrong here
Increases cardinality.
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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.