This KCNA practice question tests your understanding of container orchestration. 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.
Which Kubernetes resource should be used to run a one-time task that performs a computation and then exits?
DaemonSet
Why wrong: DaemonSet runs a pod on each node.
StatefulSet
Why wrong: StatefulSet is for stateful applications.
Job
Job is designed for batch processing.
Deployment
Why wrong: Deployment is for long-running stateless services.
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 specifically for finite, one-time tasks that run to completion and then exit. Unlike controllers that maintain a desired number of continuously running Pods, a Job creates one or more Pods and tracks their successful termination, making it the correct choice for a computation that should run once and stop.
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.
DaemonSet
Why it's wrong here
DaemonSet runs a pod on each node.
StatefulSet
Why it's wrong here
StatefulSet is for stateful applications.
Job
Why this is correct
Job is designed for batch processing.
Related concept
Read the scenario before looking for a memorised answer.
Deployment
Why it's wrong here
Deployment is for long-running stateless services.
Common exam traps
The trap here is that candidates confuse a Job with a Deployment because both can run containers, but a Deployment is designed for long-running services, not for tasks that should terminate after completion.
Detailed technical explanation
Under the hood, a Job creates Pods with a restartPolicy of 'OnFailure' or 'Never' (the default for Jobs is 'Never'), and the Job controller monitors the Pod's phase until it reaches 'Succeeded'. If a Pod fails, the Job can automatically retry based on the backoffLimit (default 6) and completions (default 1). A real-world scenario is a batch data processing pipeline where a Job runs a Spark or Python script to transform a dataset, then exits; using a Deployment would keep the Pod running indefinitely, wasting resources.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
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FAQ
Container Orchestration — This question tests Container Orchestration — Read the scenario before looking for a memorised answer..
The correct answer is: Job — A Kubernetes Job is designed specifically for finite, one-time tasks that run to completion and then exit. Unlike controllers that maintain a desired number of continuously running Pods, a Job creates one or more Pods and tracks their successful termination, making it the correct choice for a computation that should run once and stop.
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 24, 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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