PCD Managing application performance monitoring Practice Question
This PCD practice question tests your understanding of managing application performance monitoring. 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.
A company runs a Java microservice on GKE that processes financial transactions. The service is critical and must meet a 99.9% availability SLO. They have set up Cloud Monitoring alerting policies based on request latency and error rate. Recently, the team noticed that the alerting policy for high latency fires too frequently with false positives, causing alert fatigue. They want to reduce false positives without compromising real issues. The latency metric is collected from the application's custom metric via Prometheus. Which approach should they take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the alert duration to require sustained latency over a longer period.
Option D is correct because increasing the alert duration requires the high latency to be sustained over a longer period, which filters out transient spikes that cause false positives. This approach preserves the ability to detect genuine, prolonged performance degradation that could impact the 99.9% availability SLO, without raising the threshold and risking missed real issues.
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.
✗
Change the metric to use median instead of average.
Why it's wrong here
Median may still be affected by spikes; duration is more effective.
✗
Increase the alert threshold to a higher latency value.
Why it's wrong here
Raising the threshold may miss real issues that cause moderate but sustained latency.
✗
Disable the alert and rely on manual checks.
Why it's wrong here
Manual checks are unreliable and defeat automated monitoring.
✓
Increase the alert duration to require sustained latency over a longer period.
Why this is correct
Longer duration ensures alerts fire only for persistent latency issues, reducing false positives.
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 often confuse reducing false positives with simply raising thresholds or changing aggregation methods, when the correct approach is to adjust the alert duration to filter transient noise while maintaining sensitivity to sustained issues.
Detailed technical explanation
How to think about this question
In Prometheus-based monitoring, alerting rules evaluate expressions over a specified duration (e.g., `rate(latency_seconds_sum[5m]) / rate(latency_seconds_count[5m]) > 0.5` for 5m). Increasing the `for` clause (e.g., `for: 10m`) ensures the condition must hold continuously before firing, leveraging Prometheus's built-in alert state machine (Pending → Firing). This is particularly effective for microservices on GKE where pod restarts, network jitter, or brief GC pauses can cause short-lived latency spikes that do not affect the overall SLO.
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.
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: Increase the alert duration to require sustained latency over a longer period. — Option D is correct because increasing the alert duration requires the high latency to be sustained over a longer period, which filters out transient spikes that cause false positives. This approach preserves the ability to detect genuine, prolonged performance degradation that could impact the 99.9% availability SLO, without raising the threshold and risking missed real issues.
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.
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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.
Question Discussion
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