Debugging KCNA Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Users report that a service is intermittently unreachable, but the pods are running. Which command would you use to check the service's endpoints?

   • Akubectl get endpoints <service-name>
   • Bkubectl logs <service-name>
   • Ckubectl exec <service-name> -- curl localhost
   • Dkubectl describe node <node-name>
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2. 2foundation · easy

   In a Kubernetes environment, how can you access the logs of a specific pod to diagnose an issue?

   • AUse the docker logs command with the pod name
   • BUse the kubectl describe command with the pod name
   • CUse the kubectl exec command to run a shell inside the pod
   • DUse the kubectl logs command with the pod name
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4. 3expert · hard · select all that apply

   A team is debugging a microservice that intermittently returns HTTP 500 errors. They have access to the application logs, which are written to stdout, and they use Prometheus for monitoring. Select all the actions that would help them diagnose the issue.

   • AUse `kubectl logs` to view the logs of the specific Pod that handled the failing request.
   • BAdd a request ID to the logs and include it in the HTTP response headers.
   • CRestart the Deployment to clear any transient state.
   • DMonitor the HTTP 5xx error rate in Prometheus and alert when it exceeds a threshold.
   • EIncrease the log level to DEBUG for all Pods to capture more details.
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5. 4application · easy

   A developer is new to Kubernetes and wants to debug why a Pod is not starting. The Pod is in `CrashLoopBackOff`. What is the first command they should run to get a high-level overview of the Pod's status and recent events?

   • Akubectl exec -it <pod-name> -- /bin/sh
   • Bkubectl logs <pod-name> --previous
   • Ckubectl get pod <pod-name> -o yaml
   • Dkubectl describe pod <pod-name>
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6. 5application · medium

   A developer is debugging a microservice that intermittently returns errors. The service logs are verbose and include many debug messages. The team wants to reduce noise while still capturing the error context. What is the best approach?

   • ASend all logs to a separate log file and only review that file during incidents.
   • BDisable logging in production and enable it only during debugging sessions.
   • CKeep the current log level and use grep to filter for errors.
   • DIncrease the log level to ERROR and add structured fields like request ID and user ID.
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