- A
Set up alerting on each data point individually.
Why wrong: Alerting on every data point increases noise and false positives.
- B
Decrease the threshold to 400 ms.
Why wrong: Lower threshold increases sensitivity and may cause more false positives.
- C
Change the metric to average latency instead of 99th percentile.
Why wrong: Average latency hides tail latency issues and may miss real problems.
- D
Increase the evaluation window to 10 minutes.
Longer window filters out transient spikes, alerting only on sustained high latency.
Quick Answer
The correct answer is to increase the evaluation window to 10 minutes. This refinement directly addresses the problem of false positive alerts caused by short bursts of high latency, because Cloud Monitoring evaluates metric data over the specified window length; a longer window smooths out transient spikes, ensuring the alert triggers only when the 99th percentile latency exceeds 500 ms for a sustained period rather than reacting to momentary noise. On the Google Professional Cloud Architect exam, this scenario tests your understanding of alerting policy configuration and the trade-off between sensitivity and stability—a common trap is to increase the threshold value instead, which risks missing genuine degradation. The key insight is that the evaluation window controls how much historical data is considered, not just the condition’s duration. Memory tip: think of it as “window over threshold”—lengthen the window to filter out spikes, not raise the bar.
Google PCA Ensure solution and operations reliability Practice Question
This PCA practice question tests your understanding of ensure solution and operations reliability. 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 monitors their application with Cloud Monitoring. They set up an alerting policy to notify the on-call team when the 99th percentile latency exceeds 500 ms for 5 minutes. However, they receive false positive alerts due to short bursts. How should they refine the policy?
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
Increase the evaluation window to 10 minutes.
Option D is correct because increasing the evaluation window to 10 minutes smooths out short bursts of high latency, ensuring the alert triggers only when the 99th percentile latency exceeds 500 ms for a sustained period. Cloud Monitoring evaluates metrics over the specified window, so a longer window reduces false positives from transient spikes while still detecting genuine degradation.
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.
- ✗
Set up alerting on each data point individually.
Why it's wrong here
Alerting on every data point increases noise and false positives.
- ✗
Decrease the threshold to 400 ms.
Why it's wrong here
Lower threshold increases sensitivity and may cause more false positives.
- ✗
Change the metric to average latency instead of 99th percentile.
Why it's wrong here
Average latency hides tail latency issues and may miss real problems.
- ✓
Increase the evaluation window to 10 minutes.
Why this is correct
Longer window filters out transient spikes, alerting only on sustained high latency.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that lowering thresholds or changing percentiles reduces false positives, when in reality the evaluation window duration is the key lever for filtering out short-lived bursts without sacrificing sensitivity to sustained issues.
Detailed technical explanation
How to think about this question
Cloud Monitoring alerting policies use a rolling evaluation window to aggregate metric data; for a 99th percentile latency metric, the system sorts all data points in the window and checks if the value at the 99th rank exceeds the threshold. By increasing the window from 5 to 10 minutes, the policy requires the 99th percentile to remain above 500 ms for a longer contiguous period, effectively filtering out transient bursts that last only a minute or two. This approach aligns with the SRE principle of alerting on symptom-based SLIs with sufficient duration to avoid page fatigue.
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
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
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Ensure solution and operations reliability — study guide chapter
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FAQ
Questions learners often ask
What does this PCA question test?
Ensure solution and operations reliability — This question tests Ensure solution and operations reliability — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the evaluation window to 10 minutes. — Option D is correct because increasing the evaluation window to 10 minutes smooths out short bursts of high latency, ensuring the alert triggers only when the 99th percentile latency exceeds 500 ms for a sustained period. Cloud Monitoring evaluates metrics over the specified window, so a longer window reduces false positives from transient spikes while still detecting genuine degradation.
What should I do if I get this PCA 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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Last reviewed: Jun 30, 2026
This PCA 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 PCA exam.
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