- A
spec.minReadySeconds
Why wrong: minReadySeconds delays pod readiness checks, but does not control unavailability count.
- B
spec.replicas
Why wrong: Replicas defines the desired number of pods, not the update behavior.
- C
spec.strategy.rollingUpdate.maxSurge
Why wrong: maxSurge defines how many extra pods can be created above the desired count.
- D
spec.strategy.rollingUpdate.maxUnavailable
Correct. This parameter controls the maximum number of pods that can be unavailable during the update.
Question 372 of 997
CV0-004 Deployment Practice Question
This CV0-004 practice question tests your understanding of deployment. 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 team is using Kubernetes for container orchestration. They want to ensure that a new deployment does not cause downtime by gradually updating pods with a rolling update strategy. Which parameter in a Deployment manifest controls the number of pods that can be unavailable during the update?
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
✓
spec.strategy.rollingUpdate.maxUnavailable
The `spec.strategy.rollingUpdate.maxUnavailable` parameter in a Kubernetes Deployment manifest specifies the maximum number of pods that can be unavailable during a rolling update. This ensures that a controlled number of pods are taken down at a time, preventing downtime by maintaining a minimum number of available pods throughout the update process.
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.
- ✗
spec.minReadySeconds
Why it's wrong here
minReadySeconds delays pod readiness checks, but does not control unavailability count.
- ✗
spec.replicas
Why it's wrong here
Replicas defines the desired number of pods, not the update behavior.
- ✗
spec.strategy.rollingUpdate.maxSurge
Why it's wrong here
maxSurge defines how many extra pods can be created above the desired count.
- ✓
spec.strategy.rollingUpdate.maxUnavailable
Why this is correct
Correct. This parameter controls the maximum number of pods that can be unavailable during the update.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse `maxSurge` (which controls extra pods created above the desired count) with `maxUnavailable` (which controls pods that can be taken down), leading them to select option C instead of D.
Detailed technical explanation
How to think about this question
Under the hood, `maxUnavailable` can be set as an absolute number (e.g., 1) or a percentage (e.g., 25%) of the desired replica count. The Kubernetes controller uses this value to ensure that the number of unavailable pods never exceeds the threshold, allowing the update to proceed safely by replacing pods in batches. In a real-world scenario, setting `maxUnavailable` to 0 forces a surge-based update (using `maxSurge`), which can be useful for stateful applications that require all replicas to remain available.
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 CV0-004 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
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FAQ
Questions learners often ask
What does this CV0-004 question test?
Deployment — This question tests Deployment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: spec.strategy.rollingUpdate.maxUnavailable — The `spec.strategy.rollingUpdate.maxUnavailable` parameter in a Kubernetes Deployment manifest specifies the maximum number of pods that can be unavailable during a rolling update. This ensures that a controlled number of pods are taken down at a time, preventing downtime by maintaining a minimum number of available pods throughout the update process.
What should I do if I get this CV0-004 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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Last reviewed: Jul 4, 2026
This CV0-004 practice question is part of Courseiva's free CompTIA 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 CV0-004 exam.
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