This PCDOE practice question tests your understanding of optimizing service performance. 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.
A DevOps team is troubleshooting a web application that shows high latency during peak hours. The application runs on Google Kubernetes Engine (GKE). They want to identify which specific API calls are causing the delay. Which Google Cloud tool should they use?
Cloud Monitoring
Why wrong: Cloud Monitoring provides metrics but not detailed trace of individual API calls.
Cloud Profiler
Why wrong: Cloud Profiler focuses on CPU/memory consumption, not request latency.
Cloud Logging
Why wrong: Cloud Logging shows log entries but does not trace request paths across services.
Cloud Trace
Cloud Trace offers distributed tracing, enabling identification of slow API calls.
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 Trace
Cloud Trace is the correct tool because it is a distributed tracing system that captures latency data from applications, allowing you to trace individual API calls and identify which specific endpoints are causing delays. Unlike Cloud Monitoring, which provides aggregate metrics, Cloud Trace provides per-request latency breakdowns, making it ideal for pinpointing slow API calls in a GKE environment.
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
Cloud Monitoring provides metrics but not detailed trace of individual API calls.
Cloud Profiler
Why it's wrong here
Cloud Profiler focuses on CPU/memory consumption, not request latency.
Cloud Logging
Why it's wrong here
Cloud Logging shows log entries but does not trace request paths across services.
Cloud Trace
Why this is correct
Cloud Trace offers distributed tracing, enabling identification of slow API calls.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse Cloud Monitoring (which shows overall latency metrics) with Cloud Trace (which provides per-request tracing), leading them to choose Cloud Monitoring when they need to drill down into specific API calls.
Trap categories for this question
Command / output trap
Cloud Logging shows log entries but does not trace request paths across services.
Detailed technical explanation
Cloud Trace uses a sampling mechanism to collect latency data from each request, often leveraging the OpenTelemetry or Stackdriver Trace SDK to propagate trace context across microservices. In a GKE cluster, you can instrument your application with the Trace agent or use the GKE built-in integration to automatically capture traces from HTTP/gRPC calls, enabling you to visualize the critical path and identify which service or API call contributes the most to end-to-end latency.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Optimizing service performance — This question tests Optimizing service performance — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Trace — Cloud Trace is the correct tool because it is a distributed tracing system that captures latency data from applications, allowing you to trace individual API calls and identify which specific endpoints are causing delays. Unlike Cloud Monitoring, which provides aggregate metrics, Cloud Trace provides per-request latency breakdowns, making it ideal for pinpointing slow API calls in a GKE environment.
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 PCDOE 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 PCDOE exam.
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