Google Professional Cloud DevOps Engineer Question 142
Select 3Google Cloud PlatformYour team is responsible for monitoring a complex microservices architecture hosted on Google Cloud. You have been tasked with configuring dashboards and alerts in Cloud Monitoring to ensure timely detection and resolution of issues. However, you want to minimize false positives and alert fatigue. Which of the following practices should you follow to achieve this goal?
- A
Use metric thresholds that align with the operational baseline of your system.
- B
Configure alerts to trigger on every minor fluctuation in resource usage.
- C
Group related metrics together in a single dashboard for better context.
- D
Set up multiple notifications for the same alert to ensure it reaches all team members.
- E
Implement multiple conditions in alerting policies to reduce unnecessary noise.
Show answer and explanation
Correct answers: A, C, E
Explanation
To manage dashboards and alerts effectively, it is essential to configure them thoughtfully to avoid alert fatigue while ensuring critical issues are detected promptly. Practices like aligning metric thresholds with baselines, grouping related metrics for context, and using multiple conditions in alerting policies help achieve this balance. Avoiding unnecessary notifications and minor alert triggers ensures the team focuses only on actionable insights.
- A. Correct.
Using metric thresholds that align with the operational baseline ensures alerts are meaningful and reduces the likelihood of false positives.
- B. Incorrect.
Triggering alerts on every minor fluctuation can lead to alert fatigue and unnecessary noise, making it harder to identify critical issues.
- C. Correct.
Grouping related metrics together in a single dashboard provides better context when diagnosing issues and improves monitoring efficiency.
- D. Incorrect.
Sending multiple notifications for the same alert can lead to alert fatigue and does not necessarily improve response times.
- E. Correct.
Implementing multiple conditions in alerting policies helps to filter out noise by ensuring alerts are triggered only for significant issues.