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ACE Practice Question: Managing a GKE cluster that runs a mixed…
This ACE practice question tests your understanding of managing a gke cluster that runs a mixed…. 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 managing a GKE cluster that runs a mixed workload: latency-sensitive web services and batch data processing jobs. The batch jobs run for hours and consume significant CPU/memory. During batch peaks, the web services experience CPU throttling. What is the best configuration to prevent batch jobs from impacting web service latency?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Set CPU requests and limits on batch job pods to be lower than web service pods.
Setting lower requests on batch pods reduces their scheduling priority for resources but doesn't prevent them from consuming CPU when web pods' burst headroom is available.
B
Best answer
Assign web service pods a higher PriorityClass and run batch jobs on a separate node pool with taints.
Separate node pools with taints prevent batch pods from running on web-service nodes (hard isolation). PriorityClass ensures web pods preempt batch pods if they ever share resources. Together this prevents batch-induced throttling.
C
Distractor review
Enable Cluster Autoscaler so new nodes are added when batch jobs demand more resources.
Cluster Autoscaler adds nodes for unschedulable pods, not for pods already running but competing for CPU. It doesn't prevent existing batch pods from throttling web services on shared nodes.
D
Distractor review
Use Horizontal Pod Autoscaler for batch jobs so they scale down during peak web traffic.
HPA scales pods based on metrics, not on other workloads' needs. Batch jobs won't scale down simply because web services need more CPU.
Common exam trap
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.
Technical deep dive
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.
Related practice questions
Related ACE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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Question 4
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Question 6
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FAQ
Questions learners often ask
What does this ACE question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Assign web service pods a higher PriorityClass and run batch jobs on a separate node pool with taints. — Kubernetes Priority Classes assign priority to pods. Web service pods with higher priority will preempt lower-priority batch pods when resources are constrained. Additionally, Resource Quotas per namespace and Limit Ranges prevent batch jobs from consuming unbounded resources. Using separate node pools for web and batch (with taints/tolerations or node affinity) provides hard isolation — batch pods cannot physically share nodes with web pods.
What should I do if I get this ACE question wrong?
Identify which ACE 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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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.