Managing Implementation and Ensuring Solution and Operations Reliability →mediumMultiple ChoiceObjective-mapped
Google PCA Practice Question: Managing Implementation and Ensuring Solution and Operations Reliability
You need to monitor the performance of a production Cloud Run service and set an alert when the p99 latency exceeds 500 ms over a 5-minute window. Which combination of Cloud Monitoring resources should you use?
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
✓
Define an alerting policy using the metric 'run.googleapis.com/request_latencies' with a percentile aggregator and threshold condition
To alert on latency, you create a custom metric or use an existing metric (e.g., request latencies), then define a threshold condition using an alerting policy. The alerting policy specifies the metric (request latency), aggregator (p99), condition (threshold >500ms for 5 minutes), and notification channel.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Define an alerting policy using the metric 'run.googleapis.com/request_latencies' with a percentile aggregator and threshold condition
Why this is correct
This is the correct approach using Cloud Monitoring's alerting policy with appropriate metric.
- ✗
Create a log-based metric for latency and an alerting policy with a condition on the count of logs
Why it's wrong here
Log-based metrics are not optimal for percentile latency; using a metric from Cloud Run is better.
- ✗
Use Cloud Logging to export logs to BigQuery and run a scheduled query to check latency
Why it's wrong here
This is not real-time alerting and is overly complex.
- ✗
Create an uptime check and set an alert on the check response time
Why it's wrong here
Uptime checks measure availability from external locations, not internal p99 latency.
Go deeper
Related to this question
Learn chapter
Introduction to Google Cloud Platform
Key term
Cloud Monitoring
Cloud monitoring is the process of observing, measuring, and managing an organization's cloud infrastructure and applications to ensure performance, availability, and security.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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