KCNA Kubernetes Fundamentals Practice Question
A pod is stuck in 'Pending' state. Which of the following is a likely cause?
⚠ Common exam trap
The KCNA exam often tests the distinction between pod scheduling failures (Pending) and runtime failures (CrashLoopBackOff, ImagePullBackOff), so candidates mistakenly associate image or command issues with the Pending state instead of recognizing that Pending is exclusively a scheduling-phase problem.
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
✓
Insufficient CPU or memory resources on any available node
A pod remains in 'Pending' state when the scheduler cannot find a suitable node to run it. The most common reason is insufficient CPU or memory resources on any available node, as the scheduler checks resource requests against node allocatable resources before binding the pod. If no node meets the pod's resource requirements, the pod stays pending until resources become available.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The pod's command returned a non-zero exit code
Why it's wrong here
This would cause a CrashLoopBackOff after starting.
- ✗
The container image is invalid
Why it's wrong here
Invalid image causes ImagePullBackOff, not Pending.
- ✓
Insufficient CPU or memory resources on any available node
Why this is correct
If no node can satisfy the pod's resource requests, the scheduler leaves it Pending.
- ✗
The pod's liveness probe failed
Why it's wrong here
Liveness probes run after pod is running; Pending means it hasn't started.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This KCNA practice question is part of Courseiva's free CNCF 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 KCNA exam.