DynamoDB - Cost Optimization and MonitoringWhy does DAX improve read performance without increasing DynamoDB read capacity units?ABecause DAX batches multiple read requests into oneBBecause DAX serves cached data from memory, reducing direct DynamoDB callsCBecause DAX automatically scales DynamoDB tables in the backgroundDBecause DAX compresses data to reduce network usageCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand DAX caching mechanismDAX stores frequently read data in memory, so reads do not always hit DynamoDB.Step 2: Eliminate incorrect optionsDAX does not compress data, scale tables, or batch reads inherently.Final Answer:Because DAX serves cached data from memory, reducing direct DynamoDB calls -> Option BQuick Check:DAX reduces DynamoDB calls by caching in memory [OK]Quick Trick: DAX caches in memory to reduce DynamoDB read calls [OK]Common Mistakes:MISTAKESThinking DAX compresses dataAssuming DAX auto-scales tablesBelieving DAX batches reads automatically
Master "Cost Optimization and Monitoring" in DynamoDB9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
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