Courseiva
PCA
PromqlmediumMultiple ChoiceObjective-mapped

PCA Promql Practice Question

You are using the 'predict_linear()' function to forecast disk space exhaustion based on the metric 'node_filesystem_free_bytes'. What type of input data does predict_linear require?

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

A range vector of gauge values and a time duration scalar.

predict_linear predicts the value of a gauge metric 't' seconds into the future based on a range vector using linear regression.

Answer analysis

Option-by-option breakdown

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

  • An instant vector representing current disk space.

    Why it's wrong here

    predict_linear takes a range vector to perform linear regression.

  • A range vector of gauge values and a time duration scalar.

    Why this is correct

    predict_linear takes a range vector (e.g., [1h]) and a scalar duration, requiring gauge inputs.

  • Two instant vectors joined via an 'on' clause.

    Why it's wrong here

    It takes a single range vector argument.

  • A counter range vector wrapped in a rate() function.

    Why it's wrong here

    predict_linear is designed for gauges, not rates of counters.

About these practice questions

Courseiva writes every PCA question from scratch — 304 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.