This KCNA practice question tests your understanding of kubernetes fundamentals. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer wants to run a one-time batch job that processes a queue and then terminates. Which Kubernetes resource should they use?
Job
Jobs run pods until successful completion.
StatefulSet
Why wrong: StatefulSets are for stateful applications with persistent storage.
Deployment
Why wrong: Deployments are for continuously running replicas.
DaemonSet
Why wrong: DaemonSets run a pod on every node.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Job
A Kubernetes Job is designed for finite, batch-oriented tasks that run to completion, such as processing a queue and then terminating. Unlike controllers that maintain a desired state (like Deployments or StatefulSets), a Job creates one or more Pods and ensures they successfully exit, making it the correct choice for a one-time batch job.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Job
Why this is correct
Jobs run pods until successful completion.
Related concept
Read the scenario before looking for a memorised answer.
StatefulSet
Why it's wrong here
StatefulSets are for stateful applications with persistent storage.
Deployment
Why it's wrong here
Deployments are for continuously running replicas.
DaemonSet
Why it's wrong here
DaemonSets run a pod on every node.
Common exam traps
The trap here is that candidates confuse a Job with a Deployment, assuming that any workload that 'runs' must be a Deployment, but Deployments are designed for long-running services and will restart terminated Pods, whereas a Job is the correct resource for workloads that should run to completion and then stop.
Detailed technical explanation
Under the hood, a Job controller tracks Pod completions via the Pod's status.phase field; when the specified number of successful completions is reached (default 1), the Job is marked as complete and no further Pods are created. A subtle behavior is that if a Pod fails (e.g., due to node failure), the Job controller will automatically create a replacement Pod, ensuring the batch job eventually finishes even in the face of transient failures. In real-world scenarios, Jobs are often used with a work queue (e.g., RabbitMQ or Redis) where multiple parallel Pods consume messages until the queue is empty, then terminate.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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What to study next
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FAQ
Kubernetes Fundamentals — This question tests Kubernetes Fundamentals — Read the scenario before looking for a memorised answer..
The correct answer is: Job — A Kubernetes Job is designed for finite, batch-oriented tasks that run to completion, such as processing a queue and then terminating. Unlike controllers that maintain a desired state (like Deployments or StatefulSets), a Job creates one or more Pods and ensures they successfully exit, making it the correct choice for a one-time batch job.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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.
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