- A
Use Cloud Scheduler to periodically check CPU and trigger notification
Why wrong: Cloud Scheduler is for cron jobs, not monitoring alerts.
- B
Create a log-based alert using metrics from Cloud Logging
Why wrong: Log-based alerts are for log events, not metric thresholds.
- C
Use an uptime check to monitor CPU utilization
Why wrong: Uptime checks monitor service availability, not CPU utilization.
- D
Create an alert policy with a metric threshold condition for compute.googleapis.com/instance/cpu/utilization, aggregated across all instances with alignment period 1 min and duration 5 min
This correctly sets up a threshold alert on CPU utilization.
PCD Managing application performance monitoring Practice Question
This PCD practice question tests your understanding of managing application performance monitoring. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 team wants to monitor CPU utilization on their Compute Engine instances. They need an alert that sends a notification when the average CPU utilization across all instances in a project exceeds 80% for more than 5 minutes. Which alerting configuration should they use?
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 an alert policy with a metric threshold condition for compute.googleapis.com/instance/cpu/utilization, aggregated across all instances with alignment period 1 min and duration 5 min
Option D is correct because Cloud Monitoring alert policies allow you to define a metric threshold condition using the `compute.googleapis.com/instance/cpu/utilization` metric, aggregate it across all instances in the project, and set an alignment period of 1 minute with a duration of 5 minutes. This configuration ensures the alert fires only when the average CPU utilization exceeds 80% for a sustained period of 5 minutes, meeting the exact requirement.
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.
- ✗
Use Cloud Scheduler to periodically check CPU and trigger notification
Why it's wrong here
Cloud Scheduler is for cron jobs, not monitoring alerts.
- ✗
Create a log-based alert using metrics from Cloud Logging
Why it's wrong here
Log-based alerts are for log events, not metric thresholds.
- ✗
Use an uptime check to monitor CPU utilization
Why it's wrong here
Uptime checks monitor service availability, not CPU utilization.
- ✓
Create an alert policy with a metric threshold condition for compute.googleapis.com/instance/cpu/utilization, aggregated across all instances with alignment period 1 min and duration 5 min
Why this is correct
This correctly sets up a threshold alert on CPU utilization.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse log-based alerts (which work on log entries) with metric-based alerts (which work on numeric time-series data), leading them to incorrectly choose Option B.
Detailed technical explanation
How to think about this question
Under the hood, Cloud Monitoring uses the Metrics Scope to aggregate time-series data from all Compute Engine instances in a project. The alignment period (1 minute) defines how raw data points are combined into a single value using a reducer (e.g., mean), and the duration (5 minutes) specifies how long the threshold must be violated before the alert fires, preventing flapping. In a real-world scenario, if you set the duration too short (e.g., 1 minute), you risk false positives from transient spikes, while too long a duration might delay critical notifications.
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
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this PCD question test?
Managing application performance monitoring — This question tests Managing application performance monitoring — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create an alert policy with a metric threshold condition for compute.googleapis.com/instance/cpu/utilization, aggregated across all instances with alignment period 1 min and duration 5 min — Option D is correct because Cloud Monitoring alert policies allow you to define a metric threshold condition using the `compute.googleapis.com/instance/cpu/utilization` metric, aggregate it across all instances in the project, and set an alignment period of 1 minute with a duration of 5 minutes. This configuration ensures the alert fires only when the average CPU utilization exceeds 80% for a sustained period of 5 minutes, meeting the exact requirement.
What should I do if I get this PCD 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.
About these practice questions
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Last reviewed: Jun 25, 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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