This PCD practice question tests your understanding of managing application performance monitoring. 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 developer needs to view detailed performance profiles of a Java application running on Compute Engine to identify CPU hotspots. Which Google Cloud service should they use?
Cloud Monitoring
Why wrong: Monitoring collects metrics and alerts, but does not provide CPU hotspots profiling.
Cloud Trace
Why wrong: Cloud Trace provides distributed tracing, not profiling.
Cloud Profiler
Correct: Cloud Profiler is designed to capture and analyze performance profiles.
Cloud Logging
Why wrong: Logging handles log data, not performance profiles.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Cloud Profiler
Cloud Profiler is the correct service because it provides continuous, low-overhead CPU and heap profiling for Java applications running on Compute Engine. It uses statistical sampling to identify which methods consume the most CPU time, enabling developers to pinpoint hotspots without requiring code changes or redeployment.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Cloud Monitoring
Why it's wrong here
Monitoring collects metrics and alerts, but does not provide CPU hotspots profiling.
Cloud Trace
Why it's wrong here
Cloud Trace provides distributed tracing, not profiling.
Cloud Profiler
Why this is correct
Correct: Cloud Profiler is designed to capture and analyze performance profiles.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Logging
Why it's wrong here
Logging handles log data, not performance profiles.
Common exam traps
The trap here is that candidates confuse Cloud Trace (distributed tracing for latency) with Cloud Profiler (CPU/memory profiling), because both deal with 'performance' but at different granularities—Trace shows request paths, while Profiler shows method-level CPU consumption.
Detailed technical explanation
Cloud Profiler uses a statistical sampling agent that periodically captures the call stack of running threads (default sampling rate is 10 times per second) and aggregates the data into a flame graph. This approach has minimal overhead (typically <5% CPU) and works in production without restarting the application. The profiler supports wall-clock and CPU time profiling, and for Java, it leverages the JVM's built-in `Thread.getAllStackTraces()` or async-profiler under the hood.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Managing application performance monitoring — This question tests Managing application performance monitoring — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Profiler — Cloud Profiler is the correct service because it provides continuous, low-overhead CPU and heap profiling for Java applications running on Compute Engine. It uses statistical sampling to identify which methods consume the most CPU time, enabling developers to pinpoint hotspots without requiring code changes or redeployment.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
This PCD 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 PCD exam.
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