Kafka - Kubernetes and Cloud DeploymentGiven a Kafka cluster deployed on Kubernetes with autoscaling enabled, what happens when message traffic suddenly doubles?AThe cluster ignores the traffic increase and stays the same size.BThe cluster shuts down some brokers to save resources.CThe cluster automatically adds more broker pods to handle the load.DThe cluster crashes due to overload.Check Answer
Step-by-Step SolutionSolution:Step 1: Understand autoscaling in cloud-native KafkaAutoscaling means the system adjusts the number of brokers based on workload automatically.Step 2: Apply to traffic increase scenarioWhen traffic doubles, autoscaling triggers more broker pods to maintain performance.Final Answer:The cluster automatically adds more broker pods to handle the load. -> Option CQuick Check:Autoscaling = Add brokers on high load [OK]Quick Trick: Autoscaling adds resources when load increases [OK]Common Mistakes:MISTAKESThinking cluster shuts down brokers on more loadAssuming cluster size stays fixedBelieving cluster crashes immediately
Master "Kubernetes and Cloud Deployment" in Kafka9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
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