4.3 Troubleshooting and Observability PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A fintech startup runs a Node.js application on Cloud Run. The team wants to automatically capture and group exceptions so they can prioritize fixes. The application currently logs errors to stdout but does not use any error management service. What should the developer do to set up automatic error capture and grouping?

   • ACreate a Cloud Monitoring alert on the log-based metric for 'error' severity entries.
   • BDeploy a sidecar container that reads stdout and forwards errors to a third-party service.
   • CEnable Error Reporting for the Cloud Run service and ensure the application logs exceptions with a stack trace to stdout.
   • DUse Cloud Trace to capture exceptions as spans and view them in the Trace console.
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2. 27foundation · easy

   Which Cloud Monitoring component sends notifications when a metric crosses a defined threshold?

   • ADashboard
   • BTime series
   • CAlerting policy
   • DMetric descriptor
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4. 28application · medium

   A software company uses Error Reporting to manage exceptions in their production application. A developer has identified a critical error and fixed it in the code. The fix has been deployed. What should the developer do in Error Reporting to reflect that the issue has been resolved?

   • ACreate a Cloud Monitoring alert to notify the team when the error stops occurring.
   • BDelete the error group from Error Reporting to remove it from the console.
   • CAdd a comment to the error group explaining the fix, but leave the status as 'Open'.
   • DOpen the error group in Error Reporting and change its status to 'Resolved'.
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5. 29application · medium

   A media streaming company has a microservices architecture where the 'video processing' service calls the 'transcoding' service and then the 'storage' service. Users report that video uploads are slow. The developer has Cloud Trace enabled and sees a trace for a slow upload. What should the developer do to identify the bottleneck?

   • ACreate a Cloud Monitoring dashboard showing the CPU utilization of all three services.
   • BCheck the Error Reporting console for any exceptions from the transcoding service.
   • CUse Cloud Logging to search for logs from the 'video processing' service and look for error messages.
   • DOpen the trace in the Cloud Trace console and examine the span timeline to see which service has the longest duration.
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6. 30application · medium

   An e-commerce platform runs a web application on GKE. The team has a Cloud Monitoring dashboard showing request latency, but they want to be notified when the 95th percentile latency exceeds 500 ms for more than 5 minutes. What should the developer configure?

   • ACreate a custom metric in Cloud Monitoring and instrument the application to record the 95th percentile latency locally.
   • BUse Cloud Trace to analyze latency and manually check the 95th percentile in the Trace console.
   • CCreate a Cloud Monitoring alerting policy with a threshold condition on the 'request latency' metric using the 95th percentile alignment.
   • DCreate a Cloud Logging sink to export latency logs to BigQuery and set up a scheduled query to check the 95th percentile.
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