CKA · domain
Workloads & Scheduling
Practise Certified Kubernetes Administrator CKA Workloads & Scheduling practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.
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What this domain covers
What to know about Workloads & Scheduling
Workloads & Scheduling questions test whether you can apply the concept in context, not just recognise a definition.
How the topic appears in realistic exam-style scenarios.
Which detail in the question changes the correct answer.
How to eliminate plausible but wrong options.
How to connect the question back to the wider exam objective.
Watch out for
Common Workloads & Scheduling exam traps
- ▸Answering from memory before reading the full scenario.
- ▸Missing a constraint such as cost, availability, security, scope or command context.
- ▸Choosing a broad answer when the question asks for the most specific fix.
- ▸Ignoring why the wrong options are tempting.
Question index
All Workloads & Scheduling questions (7)
Click any question to see the full explanation, or start a practice session above.
A Pod with a restartPolicy of 'OnFailure' exits with code 0. What will happen?
Easy2You are a platform engineer managing a Kubernetes cluster with 5 worker nodes (node1-node5). The cluster runs a mix of stateless web services and stateful databases. Users report that a critical database Pod (part of a StatefulSet) is frequently evicted during node maintenance. The StatefulSet has a single replica. You need to improve the availability of this database Pod. The current configuration: the Pod has resource requests (2 CPU, 4Gi memory) and limits (4 CPU, 8Gi memory). The cluster uses the default scheduler with no custom policies. Nodes have varying capacities: node1 and node2 have 8 CPU/32Gi memory, node3-node5 have 4 CPU/16Gi memory. During rolling node reboots, the database Pod gets evicted and takes a long time to reschedule because no node has enough resources. What should you do to minimize downtime and ensure the Pod is rescheduled promptly after eviction?
Medium3You are managing a Kubernetes cluster that hosts a microservices application. One of the services, 'payment-processor', is critical and must always be available. It has a Deployment with 3 replicas, each requesting 1 CPU and 2Gi memory. Recently, the team added a new service 'data-analyzer' that runs as a DaemonSet on all nodes, consuming significant CPU and memory. After the addition, you notice that 'payment-processor' pods are occasionally being evicted, and new pods are slow to be scheduled. You check node resource usage and find that some nodes are overcommitted. You want to ensure that 'payment-processor' pods are never evicted and are scheduled before less critical workloads. Which action should you take?
Hard4Drag and drop the steps to troubleshoot a Node that is in NotReady state into the correct order.
Medium5A developer wants to deploy a pod that will run only once to initialize a database schema. Which Kubernetes resource should they use?
Easy6Which THREE of the following are valid considerations when using resource requests and limits? (Select 3)
Hard7A Kubernetes cluster has a node pool with GPU nodes labeled 'accelerator=nvidia-tesla'. A Pod requires a GPU. Which configuration is necessary?
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Frequently asked questions
- What does the Workloads & Scheduling domain cover on the CKA exam?
- Workloads & Scheduling questions test whether you can apply the concept in context, not just recognise a definition.
- How many questions are in this domain?
- This page lists all 7 Workloads & Scheduling questions in the CKA question bank. The actual exam draws from this domain proportionally to its weighting in the official exam blueprint.
- What is the best way to practise this domain?
- Start with a short focused session (10 questions) to identify gaps, then work through explanations. Repeat with a longer session once the weak areas feel solid.
- Can I practise only Workloads & Scheduling questions?
- Yes — the session launcher on this page filters questions to this domain only. Choose any session length for inline explanations and scoring.