- A
Cloud Monitoring — check the request_latencies metric distribution
Why wrong: Cloud Monitoring shows aggregate latency distributions (percentiles) — it doesn't show individual request details or allow drilling into specific slow requests.
- B
Cloud Trace — sort traces by latency in the last hour
Cloud Trace records individual request traces with full timing breakdown. Sorting by latency in the Trace list immediately surfaces the slowest requests.
- C
Cloud Logging — filter for requests with duration > 3s
Why wrong: Cloud Logging may contain request log entries with duration fields, but the request format varies. Cloud Trace is specifically designed for latency analysis.
- D
Cloud Profiler — view the slowest functions in the last hour
Why wrong: Cloud Profiler shows CPU/memory consumption within the application process — it doesn't show individual request-level latency broken down by request.
Identifying Individual Slow Requests in Cloud Run
This ACE practice question tests your understanding of a cloud run service handles payment processing. 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 Cloud Run service handles payment processing. A monitoring alert shows the service is experiencing 3-second P99 latency, up from its normal 200ms. The team wants to find the slowest individual requests in the last hour. Which tool provides per-request latency data?
Quick Answer
The answer is Cloud Trace, which is the correct tool for identifying individual slow requests in Cloud Run. Cloud Trace captures end-to-end latency data for each request, allowing you to sort traces by duration and pinpoint the exact slowest requests within a specific time window, such as the last hour. This per-request granularity is essential for diagnosing tail-latency problems like the P99 spike from 200ms to 3 seconds described in the scenario. On the Google Associate Cloud Engineer exam, this question tests your understanding of Google Cloud’s observability tools and their specific use cases—a common trap is confusing Cloud Monitoring (which aggregates metrics like P99 latency) with Cloud Trace (which provides individual request-level data). Remember the memory tip: “Trace tracks each trip; Monitoring measures the masses.”
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 — sort traces by latency in the last hour
Cloud Trace is designed to capture end-to-end latency for individual requests, allowing you to sort and identify the slowest requests in a specific time range. The P99 latency increase indicates a tail-latency problem, and Trace provides per-request granularity to pinpoint the exact slow requests. This makes it the correct tool for finding the slowest individual requests in the last hour.
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 Monitoring — check the request_latencies metric distribution
Why it's wrong here
Cloud Monitoring shows aggregate latency distributions (percentiles) — it doesn't show individual request details or allow drilling into specific slow requests.
- ✓
Cloud Trace — sort traces by latency in the last hour
Why this is correct
Cloud Trace records individual request traces with full timing breakdown. Sorting by latency in the Trace list immediately surfaces the slowest requests.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Logging — filter for requests with duration > 3s
Why it's wrong here
Cloud Logging may contain request log entries with duration fields, but the request format varies. Cloud Trace is specifically designed for latency analysis.
- ✗
Cloud Profiler — view the slowest functions in the last hour
Why it's wrong here
Cloud Profiler shows CPU/memory consumption within the application process — it doesn't show individual request-level latency broken down by request.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between aggregated metrics (Cloud Monitoring) and per-request tracing (Cloud Trace), trapping candidates who assume a metric distribution can identify individual slow requests.
Trap categories for this question
Command / output trap
Cloud Monitoring shows aggregate latency distributions (percentiles) — it doesn't show individual request details or allow drilling into specific slow requests.
Detailed technical explanation
How to think about this question
Cloud Trace uses distributed tracing with span IDs and trace IDs to track each request across services, storing latency data in a trace database that supports sorting by latency. Under the hood, it relies on the OpenTelemetry or Stackdriver Trace SDK to propagate context via HTTP headers (e.g., X-Cloud-Trace-Context). In a real-world scenario, a single slow database query or external API call can cause a 3-second P99 spike, and Trace's waterfall view reveals the exact span causing the delay.
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
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this ACE question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Cloud Trace — sort traces by latency in the last hour — Cloud Trace is designed to capture end-to-end latency for individual requests, allowing you to sort and identify the slowest requests in a specific time range. The P99 latency increase indicates a tail-latency problem, and Trace provides per-request granularity to pinpoint the exact slow requests. This makes it the correct tool for finding the slowest individual requests in the last hour.
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.
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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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