This PCDOE practice question tests your understanding of implementing service monitoring strategies. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 custom application metrics in real-time and trigger alerts when a metric exceeds a threshold. Which Google Cloud service should they use?
Cloud Monitoring
Cloud Monitoring ingests custom metrics and provides alerting capabilities.
Cloud Audit Logs
Why wrong: Audit logs capture administrative actions, not custom metrics.
Cloud Logging
Why wrong: Cloud Logging is for storing and analyzing logs, not for real-time metric alerting.
Cloud Error Reporting
Why wrong: Error Reporting aggregates application errors, not custom metrics.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Cloud Monitoring
Cloud Monitoring (formerly Stackdriver Monitoring) is the correct service because it is designed to ingest custom application metrics via the Monitoring API or OpenTelemetry, create dashboards for real-time visualization, and configure alerting policies that trigger notifications when a metric exceeds a defined threshold. This directly meets the requirement for real-time monitoring and threshold-based alerts.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Cloud Monitoring
Why this is correct
Cloud Monitoring ingests custom metrics and provides alerting capabilities.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Audit Logs
Why it's wrong here
Audit logs capture administrative actions, not custom metrics.
Cloud Logging
Why it's wrong here
Cloud Logging is for storing and analyzing logs, not for real-time metric alerting.
Cloud Error Reporting
Why it's wrong here
Error Reporting aggregates application errors, not custom metrics.
Common exam traps
Google Cloud often tests the distinction between logging (text-based events) and monitoring (numeric time-series metrics), so the trap here is that candidates confuse Cloud Logging's log-based metrics or alerting on log entries with the dedicated metric monitoring and alerting capabilities of Cloud Monitoring.
Detailed technical explanation
Cloud Monitoring uses a time-series data model where each metric has a metric type, resource labels, and data points with timestamps and values. Custom metrics are created via the `projects.timeSeries.create` API endpoint or using the OpenTelemetry Collector, and alerting policies evaluate a condition (e.g., `metric.type > threshold` for 5 minutes) using a rolling window. A real-world scenario is monitoring the number of active user sessions in a gaming application; Cloud Monitoring can ingest a custom metric `custom.googleapis.com/active_sessions` and trigger a Pub/Sub notification when it exceeds 10,000.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Implementing service monitoring strategies — This question tests Implementing service monitoring strategies — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Monitoring — Cloud Monitoring (formerly Stackdriver Monitoring) is the correct service because it is designed to ingest custom application metrics via the Monitoring API or OpenTelemetry, create dashboards for real-time visualization, and configure alerting policies that trigger notifications when a metric exceeds a defined threshold. This directly meets the requirement for real-time monitoring and threshold-based alerts.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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