4.3 Troubleshooting and Observability PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A SaaS company runs a Python application on App Engine. The team wants to use Error Reporting to manage errors, but they are concerned about the cost of ingesting all logs. They want to capture only errors with stack traces, not all application logs. What should the developer do to minimize log ingestion costs while still using Error Reporting?

   • AEnable Error Reporting and configure a log filter to exclude all logs except those with severity 'ERROR'.
   • BUse Cloud Trace to capture errors and send them to Error Reporting.
   • CCreate a Cloud Monitoring alert on the error count and use that to manage errors.
   • DConfigure the application to log only exceptions with stack traces to stdout, and enable Error Reporting on the App Engine service.
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2. 12foundation · easy

   What is the primary purpose of Error Reporting in Google Cloud?

   • ATo automatically capture, group, and manage application errors
   • BTo trace distributed requests across services
   • CTo visualize custom metrics on dashboards
   • DTo store application logs for long-term retention
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4. 13expert · hard

   A large e-commerce company runs a complex microservices architecture. The operations team is using Cloud Monitoring and Cloud Trace, but they are struggling to identify the root cause of a recurring performance issue. They want to use AI-assisted observability to automatically suggest root causes. What should the developer enable?

   • AEnable the AI-assisted observability feature in Cloud Monitoring, which provides anomaly detection and root cause suggestions.
   • BUse Cloud Trace's built-in AI to analyze traces and suggest root causes.
   • CCreate a custom machine learning model in Vertex AI to analyze logs and suggest root causes.
   • DEnable Error Reporting to automatically identify the root cause of the performance issue.
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5. 14foundation · easy

   Which Google Cloud feature provides AI-powered anomaly detection for metrics?

   • ACloud Logging's log-based metrics
   • BCloud Trace's waterfall charts
   • CError Reporting's error grouping
   • DCloud Monitoring's anomaly detection
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6. 15foundation · easy

   Which Cloud Trace feature helps identify which span in a trace is responsible for the most latency?

   • ATrace sampling configuration
   • BTrace export to BigQuery
   • CTrace list view
   • DTrace details view with a waterfall chart
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