Quick Answer
The answer is Cloud Monitoring, the Google Cloud service you must use to set up a CPU usage alert for a Compute Engine instance. Cloud Monitoring collects metrics like CPU utilization from your resources and allows you to define alerting policies that trigger when a condition, such as exceeding 80% for a duration of 5 minutes, is met. On the Google Professional Cloud Developer exam, this question tests your ability to distinguish between services that observe and those that act—a common trap is confusing Cloud Monitoring with Cloud Logging or error reporting tools, but only Monitoring handles metric-based thresholds and alert conditions. Remember that Monitoring is your central dashboard for all performance data, while Logging focuses on text-based events. A helpful memory tip: think of Monitoring as the “watchdog” for numeric thresholds, where you set the “bark” (alert) when CPU usage stays above 80% for five consecutive minutes.
This PCD practice question tests your understanding of integrating google cloud services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You need to monitor the CPU usage of a Compute Engine instance and trigger an alert when it exceeds 80% for 5 minutes. Which Google Cloud service should you use?
Cloud Debugger
Why wrong: Cloud Debugger is for inspecting code.
Cloud Monitoring
Cloud Monitoring provides metrics and alerting.
Cloud Logging
Why wrong: Cloud Logging is for logs.
Error Reporting
Why wrong: Error Reporting is for application errors.
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) is the correct service because it provides metrics, dashboards, and alerting policies for Compute Engine instances. You can create a metric-based alert condition that triggers when the CPU utilization metric exceeds 80% for a duration of 5 minutes, using the MQL or policy builder.
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 Debugger
Why it's wrong here
Cloud Debugger is for inspecting code.
Cloud Monitoring
Why this is correct
Cloud Monitoring provides metrics and alerting.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Logging
Why it's wrong here
Cloud Logging is for logs.
Error Reporting
Why it's wrong here
Error Reporting is for application errors.
Common exam traps
The trap here is that candidates confuse Cloud Logging with Cloud Monitoring because both are part of the Google Cloud operations suite, but Logging handles logs while Monitoring handles metrics and alerts.
Detailed technical explanation
Under the hood, Cloud Monitoring collects CPU utilization via the `agent.googleapis.com/cpu/utilization` metric, which is reported by the Cloud Monitoring agent or the Compute Engine metadata server. Alerting policies use a rolling window (e.g., 5 minutes) and a threshold condition; the system evaluates the metric against the threshold using a `threshold` or `metric absence` condition type. In a real-world scenario, you might combine this with a notification channel (e.g., email, Pub/Sub) to trigger auto-scaling or incident response.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Integrating Google Cloud services — This question tests Integrating Google Cloud services — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Monitoring — Cloud Monitoring (formerly Stackdriver Monitoring) is the correct service because it provides metrics, dashboards, and alerting policies for Compute Engine instances. You can create a metric-based alert condition that triggers when the CPU utilization metric exceeds 80% for a duration of 5 minutes, using the MQL or policy builder.
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 11, 2026
This PCD 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 PCD exam.
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