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Google ACE Practice Question: Monitor a Cloud Run service for errors and…
You need to monitor a Cloud Run service for errors and receive a PagerDuty notification when the number of 5xx errors exceeds 10 in any 5-minute window. Which Cloud Monitoring feature should you use?
⚠ Common exam trap
Google Cloud often tests the misconception that Cloud Run has built-in alerting or that direct email integration is sufficient, when in fact Cloud Monitoring's log-based metrics and alerting policies are the required mechanism for threshold-based paging.
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
✓
Create a log-based metric on Cloud Run error logs, then create an alerting policy on that metric with a PagerDuty notification channel.
A log-based metric extracts a numeric counter from Cloud Run error logs (e.g., HTTP 5xx status codes). An alerting policy can then evaluate that metric over a sliding 5-minute window, triggering a PagerDuty notification via a configured notification channel when the count exceeds 10. This is the native, serverless approach that requires no additional infrastructure.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a log-based metric on Cloud Run error logs, then create an alerting policy on that metric with a PagerDuty notification channel.
Why this is correct
This is the correct pattern: first, create a log-based metric in Cloud Logging that counts Cloud Run errors, for example by filtering on status codes >= 500 or severity ERROR. Then, define a Cloud Monitoring alerting policy that watches that metric and triggers when the error count crosses a threshold. Finally, attach a PagerDuty notification channel to the policy so an incident is created automatically. This approach uses fully managed services and requires no custom application code.
- ✗
Configure Cloud Run to send error emails directly to the PagerDuty email integration.
Why it's wrong here
Cloud Run has no native email alerting capability; it only writes structured logs to Cloud Logging. You cannot configure Cloud Run itself to send error emails to a PagerDuty email integration without introducing custom code or external logic. Even then, using an email integration is less reliable and lacks the structured incident context that a direct Cloud Monitoring–PagerDuty notification channel provides, making this a poor and nonstandard workaround.
- ✗
Use Cloud Pub/Sub to stream Cloud Run logs to a custom application that pages PagerDuty.
Why it's wrong here
Streaming Cloud Run logs to Pub/Sub and building a custom subscriber to page PagerDuty is an unnecessarily complex solution. Cloud Monitoring already provides a native PagerDuty notification channel, so you can alert directly without writing custom code or maintaining a message-processing pipeline. Adding Pub/Sub introduces extra latency, cost, and a new failure point, violating the best practice of relying on managed alerting services.
- ✗
Enable Cloud Run's built-in alerting feature in the service configuration.
Why it's wrong here
Cloud Run does not expose a built-in alerting feature in its service YAML, console, or gcloud configuration. Alerting is a core capability of Cloud Monitoring, which is a separate service that you configure via alerting policies and notification channels. There is no 'alerts' field or enabled flag in a Cloud Run service definition, so this option is technically impossible.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Google Cloud Platform Overview
Key term
Cloud Monitoring
Cloud monitoring is the process of observing, measuring, and managing an organization's cloud infrastructure and applications to ensure performance, availability, and security.
Key term
Cloud Run
Cloud Run is a fully managed compute platform from Google Cloud that lets you run containerized applications in a serverless environment, automatically scaling from zero to thousands of requests.
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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.