- A
Create an uptime check pointing to the application endpoint
Why wrong: Uptime checks monitor availability, not error rate.
- B
Create a log-based metric counting error logs and set an alerting policy in Cloud Monitoring
This directly monitors error rate from logs and alerts on threshold.
- C
Use Cloud Trace to analyze latency and set an alert on trace spans
Why wrong: Cloud Trace is for latency analysis, not error rate.
- D
Create a dashboard showing error count over time
Why wrong: A dashboard does not trigger notifications.
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.
A company has an application that experiences intermittent errors. They want to be notified immediately when the error rate exceeds 1% of total requests. What should they implement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"immediately / without restart"Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
Create a log-based metric counting error logs and set an alerting policy in Cloud Monitoring
Option B is correct because the requirement is to be notified when the error rate exceeds 1% of total requests, which requires a metric that counts error logs relative to total requests. A log-based metric in Cloud Logging can filter for error log entries (e.g., status codes 5xx), and an alerting policy in Cloud Monitoring can trigger when the ratio of error logs to total requests surpasses 1%. This directly addresses the intermittent error rate condition with precise threshold-based alerting.
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.
- ✗
Create an uptime check pointing to the application endpoint
Why it's wrong here
Uptime checks monitor availability, not error rate.
- ✓
Create a log-based metric counting error logs and set an alerting policy in Cloud Monitoring
Why this is correct
This directly monitors error rate from logs and alerts on threshold.
Clue confirmation
The clue word "immediately / without restart" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Cloud Trace to analyze latency and set an alert on trace spans
Why it's wrong here
Cloud Trace is for latency analysis, not error rate.
- ✗
Create a dashboard showing error count over time
Why it's wrong here
A dashboard does not trigger notifications.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between monitoring availability (uptime checks) and monitoring error rates (log-based metrics), leading candidates to mistakenly choose uptime checks for error rate detection.
Detailed technical explanation
How to think about this question
Log-based metrics in Cloud Logging use filters to extract numerical values from log entries, such as counting log entries with severity 'ERROR' or specific HTTP status codes. These metrics can be combined with a ratio alert (e.g., using MQL to compute `error_count / total_request_count > 0.01`) in Cloud Monitoring, which evaluates the metric over a sliding window (e.g., 5 minutes) to detect sustained error rate breaches. A subtle behavior is that log-based metrics are subject to log ingestion latency (typically seconds to a minute), so alerts may not be instantaneous for very short-lived spikes.
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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FAQ
Questions learners often ask
What does this PCDOE question test?
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: Create a log-based metric counting error logs and set an alerting policy in Cloud Monitoring — Option B is correct because the requirement is to be notified when the error rate exceeds 1% of total requests, which requires a metric that counts error logs relative to total requests. A log-based metric in Cloud Logging can filter for error log entries (e.g., status codes 5xx), and an alerting policy in Cloud Monitoring can trigger when the ratio of error logs to total requests surpasses 1%. This directly addresses the intermittent error rate condition with precise threshold-based alerting.
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.
Are there clue words in this question I should notice?
Yes — watch for: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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 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.
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