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PCA Observability Concepts Practice Question

Which THREE factors contribute to a 'high cardinality' problem in a Prometheus environment?

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

Adding high-variance values like email addresses to labels.

High cardinality is caused by labels with many unique values, like timestamps, user IDs, or un-normalized request paths.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Adding high-variance values like email addresses to labels.

    Why this is correct

    These values are unique per user, leading to massive series growth.

  • Including a unique request ID in a label.

    Why this is correct

    Unique IDs create a new time series for every request.

  • Adding full URL paths as labels including query parameters.

    Why this is correct

    Unique query parameters make the label set unique for almost every request.

  • Using a low scrape interval.

    Why it's wrong here

    This increases data volume, not label cardinality.

  • Using too many scrape targets.

    Why it's wrong here

    This affects memory but is not technically a cardinality issue.

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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.