PCDOE Implementing service monitoring strategies Practice Question
This PCDOE practice question tests your understanding of implementing service monitoring strategies. 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.
An alerting policy triggers frequently for a spike in CPU utilization on a Compute Engine instance, but the spike lasts only a few seconds. The SRE team wants to reduce false positives. Which change should they make?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the evaluation period and duration.
Option C is correct because increasing the evaluation period and duration ensures that the alerting policy only fires when the CPU utilization spike persists over a longer window, filtering out transient spikes that last only a few seconds. This directly reduces false positives by requiring sustained high utilization before triggering an alert, aligning with Google Cloud Monitoring's sliding window evaluation logic.
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.
✗
Increase the notification channel threshold.
Why it's wrong here
Notification channels do not have thresholds; this option is not applicable.
✗
Decrease the alerting duration to 0s.
Why it's wrong here
Shortening the duration makes the alert more sensitive to transient spikes, increasing false positives.
✓
Increase the evaluation period and duration.
Why this is correct
Longer evaluation period and duration require the condition to persist, reducing false positives from short-lived spikes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Change the aggregation to mean instead of max.
Why it's wrong here
Using mean might smooth out spikes, but it does not address the duration issue directly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that reducing the duration or changing aggregation will solve false positives, but the correct approach is to increase the evaluation window to require sustained anomalous behavior, not to react to every momentary deviation.
Detailed technical explanation
How to think about this question
Google Cloud Monitoring alerting policies use a sliding window evaluation where the policy checks if the metric value exceeds a threshold for the entire duration of the evaluation period. By increasing both the evaluation period (e.g., from 1 minute to 5 minutes) and the duration (e.g., from 0s to 3 minutes), the policy requires the CPU utilization to remain above the threshold for a sustained period, effectively filtering out brief spikes. This is analogous to setting a 'hold time' in network monitoring to debounce flapping alerts.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implementing service monitoring strategies — This question tests Implementing service monitoring strategies — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the evaluation period and duration. — Option C is correct because increasing the evaluation period and duration ensures that the alerting policy only fires when the CPU utilization spike persists over a longer window, filtering out transient spikes that last only a few seconds. This directly reduces false positives by requiring sustained high utilization before triggering an alert, aligning with Google Cloud Monitoring's sliding window evaluation logic.
What should I do if I get this PCDOE 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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Question Discussion
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