- A
LimitRange — sets per-Pod CPU and memory limits
Why wrong: LimitRange sets default and max limits per individual Pod or container — it doesn't set aggregate namespace-level resource caps.
- B
ResourceQuota scoped to the namespace
ResourceQuota enforces aggregate limits on resource consumption within a namespace (e.g., `requests.cpu: 10`, `requests.memory: 20Gi`). API server rejects Pods that would exceed the quota.
- C
PodDisruptionBudget limiting the number of running Pods
Why wrong: PodDisruptionBudget limits Pod disruptions during voluntary eviction events — it doesn't enforce CPU or memory resource caps.
- D
Network Policy restricting namespace traffic to avoid resource contention
Why wrong: NetworkPolicies control network traffic between Pods — they have no effect on CPU or memory resource consumption.
Quick Answer
The answer is ResourceQuota, scoped to the namespace. This Kubernetes resource enforces aggregate limits on CPU and memory consumption across all Pods within a namespace, directly addressing the need to cap total resource usage at 10 CPU cores and 20 GB memory. By defining a ResourceQuota object with `spec.hard.cpu: 10` and `spec.hard.memory: 20Gi`, the platform team ensures no single team’s workloads can exceed those thresholds, as the quota applies to the sum of all Pods in that namespace. On the Google Associate Cloud Engineer exam, this concept tests your understanding of namespace-level governance versus Pod-level limits (like resource requests and limits), and a common trap is confusing ResourceQuota with LimitRange—remember, ResourceQuota sets a hard cap on total usage, while LimitRange sets per-Pod defaults or min/max values. A helpful memory tip: think of ResourceQuota as the “namespace budget” that prevents any team from overspending the cluster’s CPU and memory allowance.
Google ACE Practice Question: Ensuring successful operation of a cloud solution
This ACE practice question tests your understanding of ensuring successful operation of a cloud solution. 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 Kubernetes namespace is shared by multiple teams. The platform team wants to ensure no single team's workloads can consume more than 10 CPU cores and 20 GB memory in that namespace. Which Kubernetes resource enforces this constraint?
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
ResourceQuota scoped to the namespace
ResourceQuota is the Kubernetes resource that enforces aggregate resource consumption limits at the namespace level. By configuring a ResourceQuota with spec.hard.cpu: 10 and spec.hard.memory: 20Gi, the platform team can cap the total CPU and memory usage across all Pods in the namespace, preventing any single team from exceeding those limits.
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.
- ✗
LimitRange — sets per-Pod CPU and memory limits
Why it's wrong here
LimitRange sets default and max limits per individual Pod or container — it doesn't set aggregate namespace-level resource caps.
- ✓
ResourceQuota scoped to the namespace
Why this is correct
ResourceQuota enforces aggregate limits on resource consumption within a namespace (e.g., `requests.cpu: 10`, `requests.memory: 20Gi`). API server rejects Pods that would exceed the quota.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
PodDisruptionBudget limiting the number of running Pods
Why it's wrong here
PodDisruptionBudget limits Pod disruptions during voluntary eviction events — it doesn't enforce CPU or memory resource caps.
- ✗
Network Policy restricting namespace traffic to avoid resource contention
Why it's wrong here
NetworkPolicies control network traffic between Pods — they have no effect on CPU or memory resource consumption.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse LimitRange (per-Pod constraints) with ResourceQuota (namespace-level aggregate constraints), leading them to select LimitRange when the question explicitly asks for a resource that enforces a total cap across all workloads.
Detailed technical explanation
How to think about this question
ResourceQuota works by intercepting Pod creation requests via the Kubernetes admission controller (ResourceQuota admission plugin). It evaluates the sum of resource requests (or limits, depending on the scope) across all Pods in the namespace against the hard limits; if the new Pod would cause the total to exceed the quota, the API server rejects the request with a 403 Forbidden. A subtle behavior is that ResourceQuota can be scoped to specific priority classes (e.g., BestEffort, NotTerminating), allowing fine-grained control over different workload types within the same namespace.
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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this ACE question test?
Ensuring successful operation of a cloud solution — This question tests Ensuring successful operation of a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: ResourceQuota scoped to the namespace — ResourceQuota is the Kubernetes resource that enforces aggregate resource consumption limits at the namespace level. By configuring a ResourceQuota with spec.hard.cpu: 10 and spec.hard.memory: 20Gi, the platform team can cap the total CPU and memory usage across all Pods in the namespace, preventing any single team from exceeding those limits.
What should I do if I get this ACE 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: Jun 11, 2026
This ACE practice question is part of Courseiva's free Google Cloud 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 ACE exam.
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