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Google ACE Practice Question: A microservices application has intermittent high…
A microservices application has intermittent high latency. The team wants to identify which specific service-to-service call in the request chain is causing the slowdown. Which Cloud Operations tool is designed for this?
⚠ Common exam trap
Google Cloud often tests the distinction between tools that monitor aggregate metrics (Cloud Monitoring) versus tools that trace individual request paths (Cloud Trace), and the trap here is that candidates confuse Cloud Profiler's code-level profiling with distributed tracing, leading them to pick D instead of C.
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 Trace
Cloud Trace is designed to capture latency data for individual service-to-service calls in a distributed request chain. It provides end-to-end tracing by collecting trace spans from each microservice, allowing you to pinpoint which specific call is causing the slowdown. This makes it the correct tool for identifying the exact service-to-service latency bottleneck.
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 Monitoring Metrics Explorer
Why it's wrong here
Cloud Monitoring Metrics Explorer is incorrect because it visualizes time-series metrics such as request latency, error counts, or resource utilization aggregated across many requests and instances. While it can reveal that overall latency increased at a certain time, it cannot break down a single request's path or show which specific service call in the chain was slow, because the metric data lacks per-request span causality.
- ✗
Cloud Logging log viewer
Why it's wrong here
Cloud Logging log viewer is incorrect because logs record discrete events at specific points in time; without each service explicitly logging trace IDs and precise timestamps for every inbound and outbound call, correlating a single request across services is impractical. Even with such logs, manually stitching together call sequences and computing per-hop durations is fragile and error-prone compared to Cloud Trace's automatic span correlation.
- ✓
Cloud Trace
Why this is correct
Cloud Trace is the correct choice because it captures end-to-end request latency as distributed traces, recording each span with its duration and parent-child relationships across services. This lets you follow a single user request through the entire service chain and identify exactly which downstream call added the most delay, rather than merely showing aggregate trends or isolated logs.
- ✗
Cloud Profiler
Why it's wrong here
Cloud Profiler is incorrect because it performs continuous, low-overhead sampling of CPU and heap memory usage within a single application process. It is designed to identify performance hotspots inside one service's code, not to correlate timing across separate services in a request path, so it cannot reconstruct the multi-service call chain needed to pinpoint where latency is introduced.
Go deeper
Related to this question
Learn chapter
Google Cloud Platform Overview
Key term
Trace
A trace is a record of the path and timing of a request or operation as it moves through components in a system, used to monitor performance and troubleshoot issues.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.