- A
Cloud Monitoring Metrics Explorer — filter by request_count metric with error status
Why wrong: Metrics Explorer shows aggregate counts and rates — it doesn't show individual request logs with endpoint details.
- B
Cloud Logging Logs Explorer — filter by resource type 'cloud_run_revision'
Cloud Run streams request logs to Cloud Logging automatically. Filtering by `resource.type="cloud_run_revision"` in Logs Explorer shows individual request details including URL path and status codes.
- C
Cloud Trace — filter by 5xx response code
Why wrong: Cloud Trace shows latency traces — while it can show response codes, it doesn't provide the full request log details and requires the Trace SDK to be instrumented.
- D
Cloud Debugger — set a snapshot at the error handler
Why wrong: Cloud Debugger captures application state at a specific point in code — it doesn't provide historical request logs or aggregate error analysis.
Quick Answer
The answer is Cloud Logging's Logs Explorer, filtered by resource type cloud_run_revision. This is correct because Cloud Logging stores individual request logs with full HTTP metadata, including status codes and endpoint paths, allowing you to view cloud run request logs 5xx errors at a granular level. In contrast, Cloud Monitoring Metrics Explorer only shows aggregated error rates, not the specific failing endpoint. On the Google Associate Cloud Engineer exam, this tests your understanding of the distinction between logging (individual events) and monitoring (aggregated metrics)—a common trap is choosing Metrics Explorer because it displays the spike, but it cannot pinpoint the exact endpoint. A useful memory tip: think "Logs for lines, Metrics for trends"—if you need to see which specific URL is returning a 500, you must dig into the log lines themselves.
Google ACE Practice Question: Ensuring successful operation of a cloud solution
This ACE practice question tests your understanding of ensuring successful operation of a cloud solution. 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 Cloud Run service has been running for weeks. A sudden spike in 5xx errors appears in Cloud Monitoring. The team wants to view the actual request logs to identify which endpoint is failing. Where should they look?
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 Logging Logs Explorer — filter by resource type 'cloud_run_revision'
Cloud Logging's Logs Explorer is the correct place to view actual request logs for a Cloud Run service. It allows filtering by resource type 'cloud_run_revision' and by HTTP status codes (e.g., 5xx) to identify which specific endpoint is failing. Cloud Monitoring Metrics Explorer shows aggregated metrics, not individual log entries, so it cannot pinpoint the exact endpoint.
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 Metrics Explorer — filter by request_count metric with error status
Why it's wrong here
Metrics Explorer shows aggregate counts and rates — it doesn't show individual request logs with endpoint details.
- ✓
Cloud Logging Logs Explorer — filter by resource type 'cloud_run_revision'
Why this is correct
Cloud Run streams request logs to Cloud Logging automatically. Filtering by `resource.type="cloud_run_revision"` in Logs Explorer shows individual request details including URL path and status codes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Trace — filter by 5xx response code
Why it's wrong here
Cloud Trace shows latency traces — while it can show response codes, it doesn't provide the full request log details and requires the Trace SDK to be instrumented.
- ✗
Cloud Debugger — set a snapshot at the error handler
Why it's wrong here
Cloud Debugger captures application state at a specific point in code — it doesn't provide historical request logs or aggregate error analysis.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between aggregated metrics (Cloud Monitoring) and raw logs (Cloud Logging), trapping candidates who think Metrics Explorer can show individual request details when it only provides statistical aggregates.
Trap categories for this question
Command / output trap
Metrics Explorer shows aggregate counts and rates — it doesn't show individual request logs with endpoint details.
Detailed technical explanation
How to think about this question
Cloud Logging automatically captures structured logs for each HTTP request to Cloud Run, including the request path, status code, and latency. Filtering by resource.type='cloud_run_revision' and httpRequest.status>=500 allows precise identification of failing endpoints. Under the hood, Cloud Run uses the Envoy proxy to generate these logs, which are then ingested into Cloud Logging via the Logging agent, ensuring near-real-time visibility into individual request failures.
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.
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FAQ
Questions learners often ask
What does this ACE question test?
Ensuring successful operation of a cloud solution — This question tests Ensuring successful operation of a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Logging Logs Explorer — filter by resource type 'cloud_run_revision' — Cloud Logging's Logs Explorer is the correct place to view actual request logs for a Cloud Run service. It allows filtering by resource type 'cloud_run_revision' and by HTTP status codes (e.g., 5xx) to identify which specific endpoint is failing. Cloud Monitoring Metrics Explorer shows aggregated metrics, not individual log entries, so it cannot pinpoint the exact endpoint.
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
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