- A
Latency (e.g., p99 response time)
Latency is a key performance SLI for user experience.
- B
CPU utilization
Why wrong: CPU utilization is an internal metric, not customer-facing.
- C
Request count
Request count is needed to calculate error ratio for availability.
- D
Instance count
Why wrong: Instance count is an infrastructure metric, not a direct health indicator.
- E
Error rate (percentage of 5xx responses)
Error rate directly reflects service availability.
Google PCA Ensure solution and operations reliability Practice Question
This PCA practice question tests your understanding of ensure solution and operations reliability. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 wants to monitor the health of their Cloud Run services. Which THREE metrics should they use to define a comprehensive health SLI? (Choose 3)
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
Latency (e.g., p99 response time)
Latency (p99 response time) is a critical metric for Cloud Run because it measures the end-to-end request processing time, directly reflecting user experience. In a serverless environment, high latency can indicate cold starts, insufficient concurrency, or downstream service bottlenecks, making it essential for a comprehensive health SLI.
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.
- ✓
Latency (e.g., p99 response time)
Why this is correct
Latency is a key performance SLI for user experience.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
CPU utilization
Why it's wrong here
CPU utilization is an internal metric, not customer-facing.
- ✓
Request count
Why this is correct
Request count is needed to calculate error ratio for availability.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Instance count
Why it's wrong here
Instance count is an infrastructure metric, not a direct health indicator.
- ✓
Error rate (percentage of 5xx responses)
Why this is correct
Error rate directly reflects service availability.
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 infrastructure-level metrics like CPU or instance count are valid health SLIs for serverless services, when in fact user-facing metrics (latency, errors, request count) are the correct choices for a comprehensive health SLI.
Detailed technical explanation
How to think about this question
Cloud Run uses a request-driven autoscaling model where each instance can handle multiple concurrent requests. The p99 latency metric captures the worst-case user experience, while error rate (5xx) indicates server-side failures such as unhandled exceptions or resource exhaustion. Request count is essential for understanding traffic patterns and normalizing error and latency metrics, forming the 'golden signals' triad for serverless services.
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.
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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: Latency (e.g., p99 response time) — Latency (p99 response time) is a critical metric for Cloud Run because it measures the end-to-end request processing time, directly reflecting user experience. In a serverless environment, high latency can indicate cold starts, insufficient concurrency, or downstream service bottlenecks, making it essential for a comprehensive health SLI.
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.
About these practice questions
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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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