- A
Cloud Trace
Why wrong: Cloud Trace measures request latency across distributed services. It doesn't provide JVM-level memory or garbage collection profiling.
- B
Cloud Profiler with heap profiling enabled for the JVM application.
Cloud Profiler captures CPU and memory profiles from production JVMs with minimal overhead (<1% CPU impact). Heap profiling shows memory allocation patterns and identifies the source of leaks.
- C
Cloud Monitoring with JVM MBeans metrics exported via the Ops Agent.
Why wrong: Exporting JVM metrics shows high-level GC counts and heap sizes but not detailed allocation profiles. Cloud Profiler provides the call-stack-level allocation data needed for leak diagnosis.
- D
Error Reporting filtered for OutOfMemoryError exceptions.
Why wrong: Error Reporting captures exceptions after they occur. If the JVM crashes with OOM, Error Reporting captures it — but profiling is needed proactively before a crash to identify the leak.
Quick Answer
The answer is Cloud Profiler with heap profiling enabled for the JVM application. This tool is correct because it captures JVM-level memory allocation data and garbage collection behavior over time, providing per-method allocation snapshots and GC pause analysis that generic memory monitoring cannot offer. On the Google Associate Cloud Engineer exam, this question tests your ability to distinguish between high-level metrics in Cloud Monitoring and the deep, code-level insights provided by Cloud Profiler. A common trap is choosing Cloud Monitoring or Memorystore, which only show aggregate memory usage, not the allocation origins or GC frequency needed to diagnose a memory leak. Remember the mnemonic “Heap for the Leak” — when you suspect a JVM memory leak and need GC profiling, think heap profiling in Cloud Profiler, not just monitoring.
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.
Your application is deployed on GKE and experiencing increased latency. You suspect a memory leak causing the JVM to run frequent garbage collection cycles. Cloud Monitoring shows high memory usage but you need to understand the garbage collection behavior over time. Which GCP tool provides JVM-level profiling including memory allocation data?
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
Cloud Profiler with heap profiling enabled for the JVM application.
Cloud Profiler with heap profiling enabled captures JVM-level memory allocation data and garbage collection behavior over time, allowing you to identify memory leaks and GC frequency. Unlike generic memory monitoring, it provides per-method allocation snapshots and GC pause analysis specific to the JVM.
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.
- ✗
Cloud Trace
Why it's wrong here
Cloud Trace measures request latency across distributed services. It doesn't provide JVM-level memory or garbage collection profiling.
- ✓
Cloud Profiler with heap profiling enabled for the JVM application.
Why this is correct
Cloud Profiler captures CPU and memory profiles from production JVMs with minimal overhead (<1% CPU impact). Heap profiling shows memory allocation patterns and identifies the source of leaks.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Monitoring with JVM MBeans metrics exported via the Ops Agent.
Why it's wrong here
Exporting JVM metrics shows high-level GC counts and heap sizes but not detailed allocation profiles. Cloud Profiler provides the call-stack-level allocation data needed for leak diagnosis.
- ✗
Error Reporting filtered for OutOfMemoryError exceptions.
Why it's wrong here
Error Reporting captures exceptions after they occur. If the JVM crashes with OOM, Error Reporting captures it — but profiling is needed proactively before a crash to identify the leak.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between metric-based monitoring (Cloud Monitoring with MBeans) and profiling (Cloud Profiler), where candidates mistakenly choose Cloud Monitoring because it shows memory usage, but it lacks the allocation-level detail needed to diagnose garbage collection behavior.
Trap categories for this question
Command / output trap
Exporting JVM metrics shows high-level GC counts and heap sizes but not detailed allocation profiles. Cloud Profiler provides the call-stack-level allocation data needed for leak diagnosis.
Detailed technical explanation
How to think about this question
Cloud Profiler's heap profiling uses statistical sampling of allocation sites via the JVM's native memory tracking (NMT) or async-profiler, capturing stack traces at allocation points to pinpoint where memory is being consumed. This allows you to correlate GC frequency with specific code paths, such as a loop creating unnecessary objects, which is critical for diagnosing latency caused by stop-the-world GC pauses. In practice, a memory leak might show a steady rise in retained heap after each GC cycle, visible only through allocation profiling rather than simple heap usage metrics.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: Cloud Profiler with heap profiling enabled for the JVM application. — Cloud Profiler with heap profiling enabled captures JVM-level memory allocation data and garbage collection behavior over time, allowing you to identify memory leaks and GC frequency. Unlike generic memory monitoring, it provides per-method allocation snapshots and GC pause analysis specific to the JVM.
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.
About these practice questions
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Last reviewed: Jun 30, 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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