AWS - Auto ScalingWhat is the main purpose of AWS Predictive Scaling?ATo prepare servers ahead of traffic changes using machine learningBTo manually add servers when traffic increasesCTo reduce server count only after traffic dropsDTo monitor server health without changing capacityCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand Predictive Scaling's goalPredictive Scaling uses machine learning to forecast traffic and adjust server capacity before changes happen.Step 2: Compare options to this goalOnly To prepare servers ahead of traffic changes using machine learning describes preparing servers ahead of traffic changes using machine learning.Final Answer:To prepare servers ahead of traffic changes using machine learning -> Option AQuick Check:Predictive Scaling = Prepare servers ahead [OK]Quick Trick: Predictive means it acts before traffic changes [OK]Common Mistakes:MISTAKESThinking it reacts only after traffic changesConfusing manual scaling with predictive scalingBelieving it only monitors without scaling
Master "Auto Scaling" in AWS9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More AWS Quizzes AWS Lambda - Lambda handler function structure - Quiz 4medium AWS Lambda - Creating a Lambda function - Quiz 13medium Auto Scaling - Cooldown periods - Quiz 4medium CloudWatch - Default vs custom metrics - Quiz 15hard CloudWatch - Default vs custom metrics - Quiz 14medium CloudWatch - CloudWatch metrics - Quiz 2easy Elastic Load Balancing - Network Load Balancer (NLB) - Quiz 13medium Elastic Load Balancing - Listener rules and routing - Quiz 7medium SNS and SQS - Dead letter queues - Quiz 14medium SNS and SQS - SNS topics and subscriptions - Quiz 5medium