Chaos Engineering and Kubernetes Quiz

Which principle does Chaos Engineering rely on?

• Reducing system costs

• Designing for failure

• Predicting exact failure modes

• Minimizing automation

What does "blast radius" refer to in Chaos Engineering?

• Duration of the experiment

• Scope of the experiment's impact

• Number of tools used

• Overall system architecture

Which metric directly measures the resilience of a system?

• MTTR (Mean Time to Recovery)

• MTBF (Mean Time Between Failures)

• Latency under load

• Error rate during steady-state

Which type of chaos is best for testing disaster recovery plans?

• Network latency chaos

• Pod delete chaos

• CPU overload chaos

• Infrastructure chaos

What type of chaos experiment tests resource constraints?

• Pod eviction chaos

• Network partition chaos

• CPU stress chaos

• Node reboot chaos

Which type of Litmus probe validates steady-state after chaos?

• HTTP probe

• Prometheus probe

• CMD probe

• K8s probe

What is the difference between chaos testing and fault injection?

• Fault injection runs automatically; chaos testing is manual

• Chaos testing validates resilience; fault injection adds faults deliberately

• Fault injection stops at identifying issues; chaos testing expands blast radius

• They are the same

What is the purpose of "annotationCheck" in LitmusChaos experiments?

• To ensure targeted resources have chaos-specific annotations.

• To validate labels on Kubernetes nodes.

• To verify probe execution results.

• To add custom labels to ChaosEngine.

What is the main role of chaos-operator in Litmus?

• Execute chaos jobs.

• Monitor logs for failures.

• Manage ChaosEngine and experiments.

• Visualize resilience scores.

Which Kubernetes feature ensures the self-healing capability of applications after chaos experiments like PodDelete?

• ReplicaSet

• HorizontalPodAutoscaler

• Persistent Volume Claims

• Deployment Controller