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Managing service incidents →hardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that the Java heap size exceeds the container memory limit, so you must reduce the JVM heap size or increase the container memory limit. This is because a GKE pod OOM error occurs when the total memory consumed by the process—including the JVM heap, metaspace, and native memory—surpasses the Kubernetes memory limit, causing the kernel’s Out-Of-Memory Killer to terminate the container. On the Google Professional Cloud DevOps Engineer exam, this scenario tests your understanding of how JVM memory configuration interacts with container resource constraints, a common trap being that developers set a Java heap size larger than the pod’s memory limit, forgetting that the JVM itself requires overhead beyond the heap. A reliable memory tip is to always ensure your JVM’s -Xmx value is at least 25% lower than the container’s memory limit to account for non-heap memory, preventing the mismatch that leads to OOM kills.

PCDOE Managing service incidents Practice Question

This PCDOE practice question tests your understanding of managing service incidents. 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.

Exhibit

Refer to the exhibit.

```
{
  "severity": "ERROR",
  "textPayload": "Exception: java.lang.OutOfMemoryError: Java heap space\n at com.example.service.DataProcessor.process(DataProcessor.java:45)\n at com.example.service.Main.main(Main.java:20)",
  "resource": {
    "type": "k8s_container",
    "labels": {
      "cluster_name": "prod-cluster",
      "namespace_name": "default",
      "pod_name": "data-processor-7d4f8b6c9-abcde",
      "container_name": "data-processor"
    }
  },
  "labels": {
    "k8s-pod/app": "data-processor"
  }
}
```

Refer to the exhibit. A GKE pod is repeatedly crashing with the error shown. The deployment has resource requests of 512 MiB memory and limits of 1 GiB. What is the most likely cause and the best remediation?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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.

Question 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.

```
{
  "severity": "ERROR",
  "textPayload": "Exception: java.lang.OutOfMemoryError: Java heap space\n at com.example.service.DataProcessor.process(DataProcessor.java:45)\n at com.example.service.Main.main(Main.java:20)",
  "resource": {
    "type": "k8s_container",
    "labels": {
      "cluster_name": "prod-cluster",
      "namespace_name": "default",
      "pod_name": "data-processor-7d4f8b6c9-abcde",
      "container_name": "data-processor"
    }
  },
  "labels": {
    "k8s-pod/app": "data-processor"
  }
}
```

A
The Java heap size exceeds the container memory limit; reduce the JVM heap size or increase the container memory limit
JVM heap must fit within the container limit to avoid OOM.
B
The node is under memory pressure; add more nodes to the cluster
Why wrong: The error is Java heap OOM, not node-level memory pressure.
C
The container needs more CPU; increase CPU request and limit
Why wrong: CPU is not related to heap space errors.
D
The application has a memory leak; refactor the DataProcessor class
Why wrong: No evidence of a leak; stack trace shows a simple allocation failure.

Full breakdown with real-world context →

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 Java heap size exceeds the container memory limit; reduce the JVM heap size or increase the container memory limit

The error indicates an OutOfMemoryError (OOM) in the Java application, which occurs when the JVM heap size exceeds the container's memory limit. Since the deployment has a memory limit of 1 GiB, if the JVM is configured with a heap size larger than this limit (or if the heap plus other memory usage exceeds it), the container will be killed by Kubernetes. Reducing the JVM heap size or increasing the container memory limit directly resolves the mismatch.

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 Java heap size exceeds the container memory limit; reduce the JVM heap size or increase the container memory limit
Why this is correct
JVM heap must fit within the container limit to avoid OOM.
Clue confirmation
The clue words "best", "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The node is under memory pressure; add more nodes to the cluster
Why it's wrong here
The error is Java heap OOM, not node-level memory pressure.
✗
The container needs more CPU; increase CPU request and limit
Why it's wrong here
CPU is not related to heap space errors.
✗
The application has a memory leak; refactor the DataProcessor class
Why it's wrong here
No evidence of a leak; stack trace shows a simple allocation failure.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the distinction between application-level errors (like JVM OOM) and infrastructure-level issues (like node pressure), tempting candidates to choose a cluster scaling solution when the root cause is a misconfigured application resource limit.

Trap categories for this question

Command / output trap
No evidence of a leak; stack trace shows a simple allocation failure.

Detailed technical explanation

How to think about this question

In Kubernetes, the container memory limit is enforced by cgroups; when the JVM's heap (controlled by -Xmx) plus native memory (e.g., metaspace, thread stacks, JIT code) exceeds the cgroup limit, the kernel OOM killer terminates the process. The JVM's default heap size may be up to 25% of the host's RAM if not explicitly set, which can easily exceed a 1 GiB container limit. Real-world scenarios often involve Java applications in containers where -Xmx is not tuned, leading to unexplained crashes.

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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.

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.

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FAQ

Questions learners often ask

What does this PCDOE question test?

Managing service incidents — This question tests Managing service incidents — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The Java heap size exceeds the container memory limit; reduce the JVM heap size or increase the container memory limit — The error indicates an OutOfMemoryError (OOM) in the Java application, which occurs when the JVM heap size exceeds the container's memory limit. Since the deployment has a memory limit of 1 GiB, if the JVM is configured with a heap size larger than this limit (or if the heap plus other memory usage exceeds it), the container will be killed by Kubernetes. Reducing the JVM heap size or increasing the container memory limit directly resolves the mismatch.

What should I do if I get this PCDOE 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: "best", "most likely". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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