Cloud Native Observability GCSA Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A team is instrumenting a Java application that uses a third-party library for database access. They want to capture traces that include database query spans without modifying the library. Which approach should they use?

   • AManually add tracing code around every database call in the application.
   • BEnable database query logging in the database server.
   • CUse OpenTelemetry's Java agent with auto-instrumentation for the database library.
   • DUse a network-level packet capture to infer database queries.
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2. 2foundation · easy

   Which telemetry type provides the most detailed view of the execution path of a single request as it travels through multiple microservices?

   • ACounter
   • BMetric
   • CTrace
   • DLog
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4. 3foundation · easy

   Which of the following is an example of instrumenting infrastructure to generate telemetry data?

   • AAdding a log statement in application code to record user actions.
   • BCreating a new Kubernetes deployment manifest.
   • CConfiguring a cloud load balancer to emit metrics about request latency.
   • DWriting a unit test for a new feature.
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A large organization has a mature monitoring platform with extensive dashboards and alerts for its monolithic applications. They are migrating to a microservices architecture on Kubernetes. The SRE team is debating whether to extend the existing monitoring platform or adopt a new observability platform. The key requirement is to reduce mean time to resolution (MTTR) for incidents involving unknown failure modes. Which approach is most aligned with the principles of cloud native observability?

   • AUse the existing platform but increase the retention period for all metrics and logs.
   • BDeploy a service mesh and rely on its built-in metrics and dashboards for all microservices.
   • CExtend the existing monitoring platform by adding more dashboards and alerts for each microservice.
   • DAdopt a new observability platform that supports high-cardinality data, distributed tracing, and ad-hoc querying, and instrument services with OpenTelemetry.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   In cloud native systems, why is observability considered a superset of monitoring?

   • ABecause observability is a newer term for the same practice as monitoring.
   • BBecause observability requires more storage than monitoring.
   • CBecause observability includes monitoring, logging, and tracing, while monitoring only includes metrics.
   • DBecause observability provides the data and tools to answer questions that monitoring was not designed to answer.
   Reveal Solution Discussion Select an answer first