KCNA Kubernetes Fundamentals Practice Question
A Pod is stuck in Pending state. Which of the following is the MOST likely cause?
⚠ Common exam trap
This question tests the distinction between scheduling failures (Pending) and runtime failures (CrashLoopBackOff, ImagePullBackOff, probe failures), so the trap is confusing post-scheduling container issues with pre-scheduling resource constraints.
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
✓
No node has enough resources to run the Pod
A Pod stuck in Pending state means the scheduler cannot place it on a node. The most common reason is insufficient resources (CPU, memory, or ephemeral storage) on any available node, causing the scheduler to leave the Pod unscheduled. This is indicated by the Pod's status remaining Pending and typically confirmed via `kubectl describe pod` showing events like '0/1 nodes are available: 1 Insufficient cpu'.
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 container is crashing
Why it's wrong here
Crashing leads to CrashLoopBackOff, not Pending.
- ✗
The container image has a typo
Why it's wrong here
Image errors typically cause ImagePullBackOff, not Pending.
- ✓
No node has enough resources to run the Pod
Why this is correct
Scheduler cannot place the Pod, so it remains Pending.
- ✗
The Pod's liveness probe is failing
Why it's wrong here
Liveness probe failures happen after the Pod starts, not during scheduling.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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