AWS - Auto ScalingHow does a target tracking scaling policy behave if the metric value is consistently below the target value?AIt decreases capacity to try to reach the targetBIt increases capacity to try to reach the targetCIt does not change capacityDIt disables scaling temporarilyCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand target tracking behaviorIf metric is below target, policy decreases capacity to bring metric up to target.Step 2: Confirm no disabling or ignoringPolicy actively adjusts capacity; it does not disable scaling or ignore metric.Final Answer:It decreases capacity to try to reach the target -> Option AQuick Check:Metric below target = scale down [OK]Quick Trick: Below target metric triggers scale down [OK]Common Mistakes:Thinking it increases capacity when metric is lowAssuming no action if metric is below target
Master "Auto Scaling" in AWS9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More AWS Quizzes AWS Lambda - Event triggers for Lambda - Quiz 8hard Auto Scaling - Minimum, maximum, and desired capacity - Quiz 10hard Auto Scaling - Auto Scaling with ELB integration - Quiz 9hard DynamoDB - Secondary indexes (GSI, LSI) - Quiz 11easy Elastic Load Balancing - Target groups concept - Quiz 7medium Elastic Load Balancing - Cross-zone load balancing - Quiz 15hard Elastic Load Balancing - ALB vs NLB decision - Quiz 11easy RDS and Relational Databases - Why managed databases matter - Quiz 9hard SNS and SQS - Dead letter queues - Quiz 12easy SNS and SQS - Sending and receiving messages - Quiz 4medium