The answer is the application has a memory leak that eventually exceeds the limit. This is correct because OOMKilled errors in GKE occur when a container’s memory usage surpasses its configured limit, triggering the kernel’s Out-Of-Memory killer to terminate the pod. Even with properly set memory requests and limits, a memory leak causes the application to steadily consume memory until it hits that boundary, so the crash persists regardless of resource configuration. On the Google Professional Cloud Architect exam, this scenario tests your understanding that OOMKilled is a symptom of the application, not a misconfiguration of limits—a common trap is to assume the limits are too low when the real issue is unbounded memory growth within the code. Remember the mnemonic: “Limits cap the ceiling, but a leak fills the room.”
Google PCA Ensure solution and operations reliability Practice Question
This PCA practice question tests your understanding of ensure solution and operations reliability. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 company deploys a microservices application on Google Kubernetes Engine (GKE). Pods in one deployment are frequently OOMKilled. The team sets memory requests and limits, but pods still crash. What is the most likely remaining cause?
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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The application has a memory leak that eventually exceeds the limit.
Option D is correct because OOMKilled errors occur when a container exceeds its memory limit. Setting memory requests and limits prevents unbounded usage, but if the application has a memory leak, it will continue to consume memory until it hits the configured limit, causing the kernel's Out-Of-Memory (OOM) killer to terminate the pod. The fact that pods still crash after setting limits indicates the application itself is the root cause, not resource configuration.
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.
✗
CPU requests are too low, causing throttling and eventual crash.
Why it's wrong here
CPU throttling does not cause OOMKill; it slows the pod but memory is the issue.
✗
The node pool is too small, causing memory pressure on the node.
Why it's wrong here
Node memory pressure can cause pod eviction, but if limits are set, pods are killed due to limit, not node pressure.
✗
Memory limits are set higher than the node's allocatable memory.
Why it's wrong here
The scheduler will not place a pod with limits exceeding node capacity, so this would prevent scheduling, not cause crashes.
✓
The application has a memory leak that eventually exceeds the limit.
Why this is correct
A memory leak causes continuous memory growth until the limit is hit, resulting in OOMKill.
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse OOMKilled (per-container limit) with node-pressure eviction (node-level memory), or assume that setting requests/limits automatically fixes all memory issues, ignoring application-level bugs like memory leaks.
Detailed technical explanation
How to think about this question
Under the hood, the Linux kernel's OOM killer is invoked when a cgroup (container) exceeds its memory.limit_in_bytes. A memory leak in the application (e.g., due to unclosed goroutines or unbounded cache growth) causes the heap to expand until it hits the limit. In GKE, you can use `kubectl top pod` and `kubectl logs` to monitor memory trends, and tools like `pprof` or `heap dump` to identify the leak. Real-world scenarios include Java applications with insufficient heap sizing or Node.js apps with unclosed event listeners.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this PCA question in full detail.
Ensure solution and operations reliability — This question tests Ensure solution and operations reliability — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The application has a memory leak that eventually exceeds the limit. — Option D is correct because OOMKilled errors occur when a container exceeds its memory limit. Setting memory requests and limits prevents unbounded usage, but if the application has a memory leak, it will continue to consume memory until it hits the configured limit, causing the kernel's Out-Of-Memory (OOM) killer to terminate the pod. The fact that pods still crash after setting limits indicates the application itself is the root cause, not resource configuration.
What should I do if I get this PCA question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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