- A
The cluster autoscaler is not enabled.
Why wrong: Autoscaler would add nodes, but the error mentions failure to fit.
- B
The deployment does not specify resource limits.
Why wrong: Missing limits would not cause this error; it's about requests.
- C
Other workloads or system components are consuming CPU resources.
Reserved CPU for system daemons reduces available capacity.
- D
The nodes have taints that prevent pod scheduling.
Why wrong: No indication of taints.
Question 294 of 999
Troubleshoot Pod Scheduling Failure: 'Insufficient CPU' Despite Cluster Capacity
This PCD practice question tests your understanding of deploying applications. 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.
You are deploying a stateful application to GKE. The deployment fails with an error: 'pods failed to fit in any node due to insufficient CPU'. The cluster has 3 nodes with 4 vCPUs each. The deployment requests 2 vCPUs per pod with 5 replicas. What is the most likely issue?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Quick Answer
The answer is that other workloads or system components are consuming CPU resources. This is correct because while the cluster has a total of 12 vCPUs across three nodes, the deployment requests 10 vCPUs for five replicas, but system daemons, kube-system pods, and any existing workloads already reserve a portion of that capacity, leaving insufficient allocatable CPU for the new pods. On the Google Professional Cloud Developer exam, this scenario tests your understanding that `kubectl describe nodes` reveals allocatable resources versus total capacity, and the common trap is assuming all 12 vCPUs are free for your deployment. Remember that GKE reserves CPU for system overhead and kubelet, so always check allocatable CPU, not just node capacity. A useful memory tip: "Total minus system equals allocatable—don't count what's already spoken for."
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
✓
Other workloads or system components are consuming CPU resources.
The cluster has 3 nodes × 4 vCPUs = 12 vCPUs total capacity. The deployment requests 5 pods × 2 vCPUs = 10 vCPUs, which is within the total capacity. However, the error indicates that the pods cannot be scheduled due to insufficient CPU. This is most likely because other workloads (e.g., system components, DaemonSets, or other deployments) are consuming CPU on the nodes, reducing the available CPU below what is required. Option A is incorrect because the cluster autoscaler would only add nodes if there is insufficient total capacity, but here the capacity exists but is consumed. Option B is incorrect because missing resource limits would not cause CPU insufficiency; it would allow pods to consume more but not prevent scheduling. Option D is incorrect because the error explicitly mentions insufficient CPU, not taints or tolerations. Therefore, option C is the most likely cause.
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.
- ✗
The cluster autoscaler is not enabled.
Why it's wrong here
Autoscaler would add nodes, but the error mentions failure to fit.
- ✗
The deployment does not specify resource limits.
Why it's wrong here
Missing limits would not cause this error; it's about requests.
- ✓
Other workloads or system components are consuming CPU resources.
Why this is correct
Reserved CPU for system daemons reduces available capacity.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The nodes have taints that prevent pod scheduling.
Why it's wrong here
No indication of taints.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which PCD exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Deploying applications — study guide chapter
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FAQ
Questions learners often ask
What does this PCD question test?
Deploying applications — This question tests Deploying applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Other workloads or system components are consuming CPU resources. — The cluster has 3 nodes × 4 vCPUs = 12 vCPUs total capacity. The deployment requests 5 pods × 2 vCPUs = 10 vCPUs, which is within the total capacity. However, the error indicates that the pods cannot be scheduled due to insufficient CPU. This is most likely because other workloads (e.g., system components, DaemonSets, or other deployments) are consuming CPU on the nodes, reducing the available CPU below what is required. Option A is incorrect because the cluster autoscaler would only add nodes if there is insufficient total capacity, but here the capacity exists but is consumed. Option B is incorrect because missing resource limits would not cause CPU insufficiency; it would allow pods to consume more but not prevent scheduling. Option D is incorrect because the error explicitly mentions insufficient CPU, not taints or tolerations. Therefore, option C is the most likely cause.
What should I do if I get this PCD question wrong?
Identify which PCD exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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