KCNA Container Orchestration Practice Question
A user wants to ensure that a pod is automatically restarted if its main process crashes. Which Kubernetes controller should they use?
⚠ Common exam trap
CNCF often tests the misconception that a 'restart' means the same pod is reused, but in Kubernetes, a Deployment (via ReplicaSet) creates a completely new pod, while the 'restartPolicy' field only controls container restarts within the same pod — the trap is confusing pod-level restart (ReplicaSet replacement) with container-level restart (kubelet action).
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
✓
Deployment
A Deployment is the correct controller because it manages a ReplicaSet, which ensures a specified number of pod replicas are running at all times. If the main process in a pod crashes, the ReplicaSet detects the pod failure (via the kubelet's liveness probe or the pod's phase becoming 'Failed') and automatically creates a new pod to replace it, thereby restarting the application. This self-healing behavior is a core feature of Deployments, making them ideal for stateless applications that need continuous availability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Deployment
Why this is correct
Deployments maintain desired pod count and restart failed pods via ReplicaSet.
- ✗
Job
Why it's wrong here
Jobs run to completion and do not restart.
- ✗
DaemonSet
Why it's wrong here
DaemonSets ensure one pod per node but do not focus on restarting crashed pods.
- ✗
CronJob
Why it's wrong here
CronJobs run jobs on a schedule.
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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.