GCP Professional Cloud Architect Practice Question
Your company runs a Java-based microservices application on Google Kubernetes Engine. Developers have already configured structured logs to be sent to Cloud Logging. They now want a managed service that will automatically capture uncaught exceptions from the logs, group identical stack traces together, provide a web console showing error frequency over time, and send real-time notifications without requiring code changes. Which Google Cloud service best meets these requirements?
Cloud Debugger
Cloud Trace
Cloud Logging with a custom log-based metric and alerting policy
Error Reporting processes logs coming from Cloud Logging, extracts uncaught exceptions, groups them by stack trace, and shows aggregated error counts and trends in the Error Reporting console. It can send real-time notifications through email, Pub/Sub, PagerDuty, or Slack and works without modifying application code when logs are already exported. Cloud Logging alone stores logs but does not aggregate or alert on stack traces. Cloud Trace focuses on latency, and Cloud Debugger requires attaching breakpoints rather than passively aggregating errors.
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What is Cloud Logging, and how does it interact with Error Reporting?
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How does Error Reporting group stack traces, and why is this useful?
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What are the key differences between Error Reporting and Cloud Debugger?
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How does Error Reporting integrate with Cloud Logging?
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What types of notifications can Error Reporting send, and how are they configured?
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How does Error Reporting differ from Cloud Debugger?
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