GCP Professional Cloud Architect Practice Question
Your organization is reviewing several reliability testing proposals for its microservices platform on Google Kubernetes Engine. To qualify an activity as chaos engineering, which characteristic must the experiment explicitly include?
Automated scaling tests that double resource limits to estimate future capacity requirements.
A deliberate injection of a controlled failure while observing that the system maintains its defined steady-state behavior.
Continuous replay of peak production traffic to measure throughput under sustained load.
Deployment of a new application version to canary GKE pods prior to full rollout.
Chaos engineering is distinguished by the intentional and well-controlled introduction of failures or abnormal conditions while the team observes whether the application continues to meet its defined "steady-state" behavior. The purpose is to surface hidden weaknesses before they cause outages in production. Merely replaying peak traffic, performing canary releases, or running capacity-planning exercises can all improve reliability, but none of those activities purposefully inject faults to verify resilience, so they are not considered chaos engineering.
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