hardMultiple ChoiceObjective-mapped
CV0-004 Practice Question: A DevOps engineer is deploying an application on…
Exhibit
Refer to the exhibit. ``` $ kubectl get pods -n production NAME READY STATUS RESTARTS AGE frontend-5d8f4d9c7-cm2xr 0/1 Pending 0 10m backend-6b9f7d5e4-lp9qz 1/1 Running 0 15m $ kubectl describe pod frontend-5d8f4d9c7-cm2xr -n production ... Events: Type Reason Age From Message ---- ------ ---- ---- ------- Warning FailedScheduling 10m default-scheduler 0/3 nodes are available: 1 Insufficient cpu, 2 Insufficient memory. ```
A DevOps engineer is deploying an application on Kubernetes. The exhibit shows the status of pods and a describe output. The frontend pod is stuck in Pending state. Which action should the engineer take to resolve the issue?
⚠ Common exam trap
CompTIA often tests the misconception that changing service types or image pull policies can resolve scheduling failures, when the root cause is almost always resource insufficiency or taints/tolerations.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduce the resource requests in the frontend deployment manifest.
The frontend pod is stuck in Pending state because the cluster nodes lack sufficient resources (CPU or memory) to satisfy the pod's resource requests. Reducing the resource requests in the deployment manifest lowers the scheduling threshold, allowing the pod to fit on an available node. This directly addresses the most common cause of Pending pods: insufficient allocatable resources on any node.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Reduce the resource requests in the frontend deployment manifest.
Why this is correct
Decreasing requests may allow the pod to fit on a node.
- ✗
Add a node affinity rule to schedule on nodes with more memory.
Why it's wrong here
No node has enough memory; affinity won't create resources.
- ✗
Change the service type from ClusterIP to NodePort.
Why it's wrong here
Service type does not affect pod scheduling.
- ✗
Modify the image pull policy to Always.
Why it's wrong here
The issue is resource availability, not image pulling.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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