This PCA practice question tests your understanding of ensure solution and operations reliability. 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 company wants to monitor their Cloud Run services for errors and latency. Which Google Cloud product should they use?
Cloud Trace
Why wrong: Used for tracing requests, not monitoring.
Cloud Monitoring
Provides metrics, dashboards, and alerts.
Cloud Logging
Why wrong: Used for log aggregation, not metrics.
Error Reporting
Why wrong: Focuses on errors, not latency.
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 Monitoring
Cloud Monitoring (formerly Stackdriver Monitoring) provides comprehensive observability for Cloud Run services, including built-in dashboards for request latency, error rates, and resource utilization. It collects metrics like request count, request latencies, and container instance counts, and allows you to set alerting policies based on these metrics. While Cloud Trace can help with latency analysis and Cloud Logging captures logs, Cloud Monitoring is the primary product for monitoring both errors and latency in a unified view.
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 Trace
Why it's wrong here
Used for tracing requests, not monitoring.
Cloud Monitoring
Why this is correct
Provides metrics, dashboards, and alerts.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Logging
Why it's wrong here
Used for log aggregation, not metrics.
Error Reporting
Why it's wrong here
Focuses on errors, not latency.
Common exam traps
The trap here is that candidates often confuse Cloud Trace (for latency) or Error Reporting (for errors) as standalone solutions, but the question asks for a single product that monitors both errors and latency, which is Cloud Monitoring's role as the central metrics and alerting platform.
Detailed technical explanation
Cloud Monitoring uses the Cloud Monitoring API to ingest metrics from Cloud Run, such as `run.googleapis.com/request_count` and `run.googleapis.com/request_latencies`, which are collected at 60-second intervals by default. It supports creating custom alerting policies with conditions like 'request latency > 500ms for 5 minutes' or 'error rate > 1%', and can trigger notifications via Pub/Sub, email, or PagerDuty. In a real-world scenario, a team might use Cloud Monitoring to set up a dashboard showing p99 latency and error rate by revision, enabling rapid rollback if a new deployment degrades performance.
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
Ensure solution and operations reliability — This question tests Ensure solution and operations reliability — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Monitoring — Cloud Monitoring (formerly Stackdriver Monitoring) provides comprehensive observability for Cloud Run services, including built-in dashboards for request latency, error rates, and resource utilization. It collects metrics like request count, request latencies, and container instance counts, and allows you to set alerting policies based on these metrics. While Cloud Trace can help with latency analysis and Cloud Logging captures logs, Cloud Monitoring is the primary product for monitoring both errors and latency in a unified view.
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
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