AWS Certified Solutions Architect Professional SAP-C02 Practice Question
A mobile-gaming company added an Amazon DynamoDB Accelerator (DAX) cluster in front of a highly read-intensive DynamoDB table to reduce end-to-end user latency. Executives want one daily KPI that clearly shows whether the new caching tier is providing the intended performance benefit. Which CloudWatch metric or metric-math expression is the best choice for that primary KPI?
ConsumedReadCapacityUnits for the DynamoDB table
Cache hit ratio calculated as ItemCacheHits ÷ (ItemCacheHits + ItemCacheMisses) for the DAX cluster
Average CPUUtilization across all nodes in the DAX cluster
Average SuccessfulRequestLatency for GetItem operations on the DynamoDB table
A cache hit ratio directly measures how many read operations are served from the in-memory DAX cluster instead of the underlying DynamoDB table. A higher hit ratio correlates to lower user-visible latency and confirms that the caching layer is effective. SuccessfulRequestLatency still reflects calls that miss the cache, CPUUtilization gauges node load rather than user experience, and ConsumedReadCapacityUnits tracks backend capacity but not latency. Therefore, tracking the cache hit ratio is the most meaningful single KPI for validating DAX performance gains.
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