KCNA Kubernetes Fundamentals Practice Question
You run 'kubectl get pods' and see a pod with status 'Pending'. Which is the most likely cause?
⚠ Common exam trap
The CNCF's KCNA exam often tests the distinction between pod lifecycle phases (Pending, Running, Succeeded, Failed, Unknown) and common error states (CrashLoopBackOff, ImagePullBackOff), so candidates mistakenly associate 'Pending' with image or runtime issues rather than scheduling failures.
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
✓
The scheduler cannot find a node that meets the pod's resource requirements
A pod with status 'Pending' indicates that the pod has been accepted by the cluster but is not yet running. The most common cause is that the Kubernetes scheduler cannot find a node that satisfies the pod's resource requests (CPU, memory) or other constraints (node selector, taints/tolerations, affinity rules). The scheduler continuously evaluates nodes and if none match, the pod remains in Pending state until a suitable node becomes 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 container has crashed
Why it's wrong here
CrashLoopBackOff indicates a running container that has exited.
- ✓
The scheduler cannot find a node that meets the pod's resource requirements
Why this is correct
Pending often means the scheduler is unable to place the pod due to resource constraints.
- ✗
The container image is not found
Why it's wrong here
Image pull errors result in 'ImagePullBackOff' or 'ErrImagePull', not Pending.
- ✗
The pod has been deleted by a controller
Why it's wrong here
Deleted pods would not appear as Pending.
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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.