CKAD Application Observability and Maintenance Practice Question
This CKAD practice question tests your understanding of application observability and maintenance. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 pod is stuck in 'Pending' state. You run 'kubectl describe pod my-pod' and see the event: '0/3 nodes are available: 3 Insufficient cpu.' Which action should you take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduce the CPU request of the pod and reapply the manifest.
The pod is stuck in 'Pending' because the scheduler cannot find a node with enough allocatable CPU to satisfy the pod's CPU request. Reducing the CPU request (the amount guaranteed to the container) makes the pod schedulable on existing nodes. Increasing limits would only worsen the problem, as limits are a cap on usage, not a scheduling constraint.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Increase the CPU limits on the pod to give it more resources.
Why it's wrong here
Increasing limits makes the problem worse; the pod requires more CPU than available.
✓
Reduce the CPU request of the pod and reapply the manifest.
Why this is correct
Lowering CPU request may allow the pod to fit on a node with available CPU.
Related concept
Read the scenario before looking for a memorised answer.
✗
Add another node to the cluster to increase overall CPU capacity.
Why it's wrong here
Adding nodes could help but is a more drastic and slower solution; reducing request is quicker.
✗
Add a nodeSelector to the pod to target a specific node.
Why it's wrong here
NodeSelector does not solve insufficient CPU on all nodes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse CPU requests with CPU limits, assuming that increasing limits gives the pod more resources, when in fact the scheduler only checks requests for admission, and limits are a runtime constraint.
Detailed technical explanation
How to think about this question
The Kubernetes scheduler uses the 'fit' predicate to check if a node has enough unallocated resources to satisfy the pod's requests. The 'Insufficient cpu' event means the sum of CPU requests across all pods on each node already exceeds the node's allocatable capacity. Reducing the request allows the scheduler to place the pod on a node with available CPU, while limits are only enforced by the kubelet at runtime via cgroups and do not affect scheduling decisions.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the CKAD exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CKAD question in full detail.
Application Observability and Maintenance — This question tests Application Observability and Maintenance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Reduce the CPU request of the pod and reapply the manifest. — The pod is stuck in 'Pending' because the scheduler cannot find a node with enough allocatable CPU to satisfy the pod's CPU request. Reducing the CPU request (the amount guaranteed to the container) makes the pod schedulable on existing nodes. Increasing limits would only worsen the problem, as limits are a cap on usage, not a scheduling constraint.
What should I do if I get this CKAD question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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