Cloud Native Observability GCSA Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the primary role of OpenTelemetry in cloud native observability?

   • ATo standardize the generation, collection, and export of telemetry data across services.
   • BTo provide a proprietary monitoring platform for cloud providers.
   • CTo automatically detect and fix security vulnerabilities in applications.
   • DTo replace all logging frameworks with a single tool.
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2. 22application · medium

   A team is deploying a Java application to a Kubernetes cluster. They want to instrument the application to emit metrics and traces without modifying the application source code. Which approach is most appropriate?

   • AEnable Kubernetes audit logging to capture all API calls and use that as the application's trace data.
   • BUse the OpenTelemetry Java agent as a sidecar or init container to automatically instrument the application.
   • CDeploy a service mesh that automatically generates traces for all HTTP traffic without any application changes.
   • DManually add OpenTelemetry SDK calls to every method in the application.
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4. 23application · medium

   A platform team manages a microservices application where each service emits structured logs and Prometheus metrics, but no traces are collected. During an incident, they can see that the checkout service's error rate spiked and its logs show database timeouts, but they cannot determine which upstream service initiated the failing requests. The team wants to improve their ability to answer 'why is this happening?' for future incidents with minimal changes to existing service code. What should they prioritize?

   • AIncrease the retention period for existing logs and metrics so more historical data is available during post-incident analysis.
   • BAdd distributed tracing instrumentation to all services and propagate trace context across service boundaries.
   • CConfigure the log aggregator to parse and index the existing structured logs by service name and timestamp.
   • DCreate additional dashboards that overlay the error rate and log volume for each service on a single timeline.
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5. 24application · medium

   An operations team currently monitors a monolithic application with dashboards that alert on CPU and memory thresholds. They are migrating to a microservices architecture and want to handle unexpected failure modes that were never anticipated. Which capability is most important to add?

   • ADistributed tracing with high-cardinality attributes to explore unknown failure paths.
   • BA centralized log management system with full-text search.
   • CAutomated remediation scripts that restart failing pods.
   • DMore granular CPU and memory alerts for each microservice.
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6. 25application · medium

   A team is building a new microservice and wants to follow observability best practices from the start. They plan to use structured logging and want to ensure that logs can be correlated with traces and metrics. Which practice is most important to implement?

   • ALog every variable and function call to ensure no detail is missed during debugging.
   • BUse a single log file for all services and rely on timestamps to order events.
   • CWrite logs to the console in a human-readable format so developers can easily read them during development.
   • DInclude trace and span IDs in every log entry, and use a consistent key-value format for all log fields.
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