- A
Use Cloud Monitoring to examine the payments service's request latency and error rate metrics, and create a custom dashboard for real-time monitoring.
Cloud Monitoring provides latency and error metrics via Istio or GKE metrics; a custom dashboard helps visualize the issue.
- B
Check the GKE node's network performance using VPC Flow Logs and increase the node pool size.
Why wrong: The issue is with the payments service, not the underlying network or node capacity.
- C
Modify the HPA to use memory utilization instead of CPU, as memory is more indicative of the service's performance.
Why wrong: Changing the metric without understanding the bottleneck may not help; latency issues are often not due to memory.
- D
Configure a custom metric in Cloud Monitoring for the payments service's request queue depth and use it for HPA.
Why wrong: Custom metrics require the service to expose them; this would take time to implement and won't help immediately.
- E
Manually scale up the payments service deployment to more replicas to handle the increased load.
Manual scaling provides immediate additional capacity while HPA responds to the load.
Quick Answer
The answer is to manually scale up the payments service deployment and use Cloud Monitoring to diagnose the root cause. Manually increasing replicas provides immediate relief during a flash sale when HPA based on CPU utilization may react too slowly to a sudden traffic surge, as CPU metrics can lag behind actual load spikes. This tests your ability to differentiate between reactive autoscaling and proactive incident response on the Google Professional Cloud DevOps Engineer exam, where a common trap is relying solely on HPA during extreme events. To diagnose high latency, Cloud Monitoring dashboards let you correlate error rates with traffic patterns, ensuring you mitigate the symptom while identifying the true bottleneck. Remember the memory tip: “Scale first, diagnose second” — during a flash sale, manual intervention buys time for observability to reveal the root cause.
PCDOE Managing service incidents Practice Question
This PCDOE practice question tests your understanding of managing service incidents. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 are the DevOps engineer for a large e-commerce platform running on Google Kubernetes Engine (GKE). During a flash sale, you observe that the payments service is experiencing high latency and intermittent errors. The service is deployed with HorizontalPodAutoscaler (HPA) based on CPU utilization. You need to quickly diagnose and mitigate the issue. Which TWO actions should you take?
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
Use Cloud Monitoring to examine the payments service's request latency and error rate metrics, and create a custom dashboard for real-time monitoring.
Option A is correct because Cloud Monitoring provides the necessary observability to diagnose the root cause of high latency and intermittent errors by examining request latency and error rate metrics. Creating a custom dashboard enables real-time monitoring, allowing you to correlate performance degradation with traffic spikes during the flash sale. This is the first step in incident management: observe before acting.
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 Monitoring to examine the payments service's request latency and error rate metrics, and create a custom dashboard for real-time monitoring.
Why this is correct
Cloud Monitoring provides latency and error metrics via Istio or GKE metrics; a custom dashboard helps visualize the issue.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Check the GKE node's network performance using VPC Flow Logs and increase the node pool size.
Why it's wrong here
The issue is with the payments service, not the underlying network or node capacity.
- ✗
Modify the HPA to use memory utilization instead of CPU, as memory is more indicative of the service's performance.
Why it's wrong here
Changing the metric without understanding the bottleneck may not help; latency issues are often not due to memory.
- ✗
Configure a custom metric in Cloud Monitoring for the payments service's request queue depth and use it for HPA.
Why it's wrong here
Custom metrics require the service to expose them; this would take time to implement and won't help immediately.
- ✓
Manually scale up the payments service deployment to more replicas to handle the increased load.
Why this is correct
Manual scaling provides immediate additional capacity while HPA responds to the load.
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 scaling actions (like manual scaling or changing HPA metrics) are the first step in incident response, when in fact observability and diagnosis must precede any mitigation to avoid making the problem worse.
Detailed technical explanation
How to think about this question
HorizontalPodAutoscaler (HPA) in GKE uses the Kubernetes Metrics Server to collect resource metrics like CPU and memory, but for bursty, latency-sensitive workloads, CPU utilization can be a poor proxy for actual service health due to request queuing and thread pool exhaustion. Custom metrics via the Kubernetes Custom Metrics API (e.g., from Cloud Monitoring) allow HPA to scale based on application-level signals like request queue depth, which directly correlates with latency. In practice, during a flash sale, the payments service may experience high latency even at moderate CPU due to database connection pool saturation or external API throttling, making CPU-based HPA insufficient.
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 service incidents — study guide chapter
Learn the concepts, then practise the questions
- →
Managing service incidents practice questions
Targeted practice on this topic area only
- →
All PCDOE questions
500 questions across all exam domains
- →
Google Professional Cloud DevOps Engineer study guide
Full concept coverage aligned to exam objectives
- →
PCDOE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCDOE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Bootstrapping a Google Cloud organization for DevOps practice questions
Practise PCDOE questions linked to Bootstrapping a Google Cloud organization for DevOps.
Managing service incidents practice questions
Practise PCDOE questions linked to Managing service incidents.
Managing Google Cloud costs practice questions
Practise PCDOE questions linked to Managing Google Cloud costs.
Building and implementing CI/CD pipelines practice questions
Practise PCDOE questions linked to Building and implementing CI/CD pipelines.
Implementing service monitoring strategies practice questions
Practise PCDOE questions linked to Implementing service monitoring strategies.
Optimizing service performance practice questions
Practise PCDOE questions linked to Optimizing service performance.
PCDOE fundamentals practice questions
Practise PCDOE questions linked to PCDOE fundamentals.
PCDOE scenario practice questions
Practise PCDOE questions linked to PCDOE scenario.
PCDOE troubleshooting practice questions
Practise PCDOE questions linked to PCDOE troubleshooting.
Practice this exam
Start a free PCDOE practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCDOE question test?
Managing service incidents — This question tests Managing service incidents — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Cloud Monitoring to examine the payments service's request latency and error rate metrics, and create a custom dashboard for real-time monitoring. — Option A is correct because Cloud Monitoring provides the necessary observability to diagnose the root cause of high latency and intermittent errors by examining request latency and error rate metrics. Creating a custom dashboard enables real-time monitoring, allowing you to correlate performance degradation with traffic spikes during the flash sale. This is the first step in incident management: observe before acting.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More PCDOE practice questions
- Order the steps to set up a CI/CD pipeline using Cloud Build and Cloud Deploy for a Cloud Run service.
- Order the steps to configure a VPC Network Peering between two projects.
- Order the steps to respond to a Google Cloud security incident involving a compromised service account key.
- Refer to the exhibit. The Cloud Build fails with a permission error. The Cloud Build service account has roles/cloudbuil…
- A company is setting up a new Google Cloud organization. They want to ensure that all projects inherit common IAM polici…
- A DevOps team is bootstrapping CI/CD pipelines that need access to API keys stored in Secret Manager. The pipelines run…
Last reviewed: Jun 30, 2026
This PCDOE 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 PCDOE exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.