AWS - Auto ScalingWhat does AWS Predictive Scaling primarily use to forecast future resource needs?AManual user input for expected trafficBHistorical usage data and machine learningCRandom traffic simulationsDFixed schedules set by administratorsCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand Predictive Scaling data inputAWS Predictive Scaling analyzes past usage patterns to predict future needs.Step 2: Identify the forecasting methodIt uses machine learning models on historical data to forecast resource demand.Final Answer:Historical usage data and machine learning -> Option BQuick Check:Forecasting method = Historical data + ML [OK]Quick Trick: Predictive Scaling learns from past data, not guesses or fixed times [OK]Common Mistakes:MISTAKESThinking it uses manual input instead of dataAssuming it relies on random or fixed schedulesConfusing it with reactive scaling
Master "Auto Scaling" in AWS9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
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