- A
The container will be evicted from the node
Why wrong: Eviction occurs when node resources are overcommitted; this scenario does not indicate node pressure.
- B
The container will be throttled
Why wrong: Throttling happens when the container tries to use more CPU than the limit. Since it's below limit, no throttling.
- C
The container will continue to run normally
CPU usage between request and limit is allowed; the container is guaranteed the request amount and can burst up to the limit.
- D
The container will be terminated
Why wrong: Termination occurs only if memory limit is exceeded or if OOMKilled occurs; CPU usage above limit causes throttling, not termination.
Question 659 of 997
Kubernetes CPU Requests and Limits Behavior
This KCNA practice question tests your understanding of kubernetes fundamentals. 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.
A pod has both resource requests and limits defined. The container is using more CPU than the request but less than the limit. What will happen?
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
✓
The container will continue to run normally
When a container's CPU usage exceeds its request but stays below its limit, Kubernetes treats the container as running within its allowed range. The request guarantees baseline resources, while the limit caps usage; as long as usage is below the limit, no throttling or eviction occurs. The container continues to run normally because CPU limits are enforced via CFS quotas only when usage reaches the limit, and requests are used for scheduling and QoS classification.
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 container will be evicted from the node
Why it's wrong here
Eviction occurs when node resources are overcommitted; this scenario does not indicate node pressure.
- ✗
The container will be throttled
Why it's wrong here
Throttling happens when the container tries to use more CPU than the limit. Since it's below limit, no throttling.
- ✓
The container will continue to run normally
Why this is correct
CPU usage between request and limit is allowed; the container is guaranteed the request amount and can burst up to the limit.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The container will be terminated
Why it's wrong here
Termination occurs only if memory limit is exceeded or if OOMKilled occurs; CPU usage above limit causes throttling, not termination.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common misconception is that exceeding a CPU request triggers throttling or eviction, when in fact throttling only occurs at the limit and eviction is tied to node pressure and QoS class.
Trap categories for this question
Scenario analysis trap
Eviction occurs when node resources are overcommitted; this scenario does not indicate node pressure.
Detailed technical explanation
How to think about this question
Under the hood, Kubernetes uses Completely Fair Scheduler (CFS) quotas to enforce CPU limits; the kernel throttles a container only when its CPU time exceeds the limit over a given period. Requests are used by the kubelet and scheduler for resource reservation and QoS classification (Burstable vs. Guaranteed), but do not trigger throttling. In a real-world scenario, a Burstable pod (request < limit) can burst up to its limit without penalty, which is critical for latency-sensitive applications that need occasional extra CPU.
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 KCNA 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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Kubernetes Fundamentals — study guide chapter
Learn the concepts, then practise the questions
- →
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Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this KCNA question test?
Kubernetes Fundamentals — This question tests Kubernetes Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The container will continue to run normally — When a container's CPU usage exceeds its request but stays below its limit, Kubernetes treats the container as running within its allowed range. The request guarantees baseline resources, while the limit caps usage; as long as usage is below the limit, no throttling or eviction occurs. The container continues to run normally because CPU limits are enforced via CFS quotas only when usage reaches the limit, and requests are used for scheduling and QoS classification.
What should I do if I get this KCNA 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 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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