4.3 Troubleshooting and Observability PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A gaming company runs a real-time multiplayer service on GKE. The operations team is overwhelmed by the number of alerts and wants to reduce alert fatigue while still detecting unusual behavior, such as a sudden spike in error rates or latency. The team wants to use Google Cloud's AI-assisted features to automatically detect anomalies. What should the developer configure?

   • AEnable anomaly detection in Cloud Monitoring by creating an alerting policy with the 'anomaly detection' condition type.
   • BUse Cloud Trace to automatically detect latency anomalies and send alerts.
   • CCreate a Cloud Logging sink to export all logs to BigQuery and use BigQuery ML to detect anomalies.
   • DSet up Error Reporting to automatically detect and alert on new error types.
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2. 17application · medium

   A healthcare company runs a HIPAA-compliant application on Google Cloud. The compliance team requires that all application logs be retained for 7 years. The developer needs to ensure that logs from the application are captured and retained for the required period. What should the developer do?

   • AExport logs to Cloud Storage with a lifecycle policy that deletes objects after 7 years.
   • BConfigure a Cloud Logging bucket with a retention policy of 7 years and route the application logs to that bucket.
   • CUse Cloud Trace to store all trace data for 7 years.
   • DEnable Error Reporting to capture and retain all application errors for 7 years.
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4. 18foundation · easy

   What is the primary purpose of creating a trace span in application code?

   • ATo store application logs for later retrieval
   • BTo group related errors for error reporting
   • CTo measure the duration of a specific operation or unit of work
   • DTo define alerting thresholds for application performance
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5. 19foundation · easy

   What is the primary purpose of a Cloud Monitoring dashboard?

   • ATo store time-series metric data
   • BTo route logs to external destinations
   • CTo visualize metrics and logs in a customizable view
   • DTo define alerting thresholds for metrics
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6. 20foundation · easy

   A developer wants to add structured logging to a Python application running on Google Cloud. Which library should they use to emit logs that are automatically captured by Cloud Logging?

   • Agoogle-cloud-monitoring
   • Bgoogle-cloud-trace
   • Cgoogle-cloud-error-reporting
   • Dgoogle-cloud-logging
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