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Google ACE Practice Question: Ensuring Successful Operation of a Cloud Solution

You have a Cloud Run service that experiences intermittent high latency. You want to analyze the latency of specific request paths to identify bottlenecks. You enable Cloud Trace and instrument your application with OpenTelemetry. Which tool or feature should you use to view a waterfall diagram of latencies across services for a single request?

⚠ Common exam trap

The trap is confusing Cloud Trace with Cloud Monitoring or Logging; candidates might think Metrics Explorer or Logs Explorer can show waterfall diagrams, but only Cloud Trace provides that view.

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 Trace List and Trace Details

Cloud Trace Trace List and Trace Details provide a waterfall diagram that visualizes the latency of each request as it propagates through different services. This allows you to pinpoint bottlenecks by seeing the duration of each span in the trace. OpenTelemetry instrumentation enriches traces with custom spans, making this the correct tool for analyzing request paths.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Error Reporting

    Why it's wrong here

    Error Reporting is designed to aggregate application errors and exceptions into a centralized view, focusing on crash frequency, stack traces, and error grouping. It does not capture or display per-request latency breakdowns, nor does it provide waterfall diagrams of service calls. For diagnosing intermittent latency, you need trace data, not error logs, so this tool wouldn't reveal where time is spent within a request.

  • ✓

    Cloud Trace Trace List and Trace Details

    Why this is correct

    Cloud Trace Trace List and Trace Details is the correct service because the Trace List displays each sampled request as a row with its overall latency, while Trace Details opens a waterfall chart that breaks the request into individual spans. In a Cloud Run service, this shows time spent in container startup, internal logic, and downstream calls, making it possible to pinpoint exactly which span causes an intermittent slowdown. The per-request, span-level granularity directly matches the need to diagnose variable performance.

  • ✗

    Cloud Monitoring Metrics Explorer

    Why it's wrong here

    Cloud Monitoring Metrics Explorer is for querying aggregated time-series metrics, such as request count, p95 latency, or CPU utilization, plotted over a selected time window. It cannot show individual request traces or the internal hierarchy of spans within a single request, which is necessary to see the exact bottleneck. While it might reveal a latency spike, it will not indicate whether the delay came from a specific downstream call, so it is insufficient for request-level analysis.

  • ✗

    Cloud Logging Logs Explorer

    Why it's wrong here

    The Logs Explorer lets you search through structured and unstructured log entries, filtering by resource, severity, or text, but it does not display request-level trace waterfall diagrams. Logs may contain trace IDs and individual span log entries, yet they lack the consolidated visual timeline that shows how long each step took relative to the whole request. To see a request's latency breakdown across services, you need Cloud Trace's trace visualization, not raw log entries.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Google Cloud exam blueprint

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.