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.
You need to run a batch job that processes a queue and then terminates. Which Kubernetes resource should you use?
Deployment
Why wrong: Deployments are for long-running services, not batch jobs.
DaemonSet
Why wrong: DaemonSets run a Pod on every node.
StatefulSet
Why wrong: StatefulSets are for stateful applications with persistent identities.
Job
Jobs ensure a specified number of Pods successfully terminate, ideal for batch processing.
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 Job is the correct Kubernetes resource for running a batch process that executes a finite task (e.g., processing a queue) and then terminates. Unlike controllers that maintain a desired state indefinitely, a Job creates one or more Pods and ensures they run to successful completion, after which the Job itself completes and no further Pods are created.
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.
Deployment
Why it's wrong here
Deployments are for long-running services, not batch jobs.
DaemonSet
Why it's wrong here
DaemonSets run a Pod on every node.
StatefulSet
Why it's wrong here
StatefulSets are for stateful applications with persistent identities.
Job
Why this is correct
Jobs ensure a specified number of Pods successfully terminate, ideal for batch processing.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
CNCF often tests the misconception that a Deployment can be used for any workload, but the trap here is that a Deployment's restart policy (Always) makes it unsuitable for terminating batch jobs, whereas a Job's restart policy (OnFailure or Never) is specifically designed for finite tasks.
Detailed technical explanation
Under the hood, a Kubernetes Job tracks Pod completions via the `.status.succeeded` field and can be configured with a `backoffLimit` (default 6) to handle transient failures, as well as a `ttlSecondsAfterFinished` to automatically clean up completed Jobs. A real-world scenario is a data pipeline where a Job reads messages from a RabbitMQ or Kafka queue, processes them, and then exits; using a Deployment here would cause the Pod to restart and re-process messages, leading to duplicates or infinite loops.
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 Job is the correct Kubernetes resource for running a batch process that executes a finite task (e.g., processing a queue) and then terminates. Unlike controllers that maintain a desired state indefinitely, a Job creates one or more Pods and ensures they run to successful completion, after which the Job itself completes and no further Pods are created.
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 30, 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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