Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

Large binary objects are usually more cost-effective inAmazon S3than in a relational database. AWS S3 documentation describes S3 as highly durable object storage, and AWS storage guidance commonly uses a database to holdmetadatawhile S3 stores the objects themselves. Moving the documents out of the Oracle database reduces expensive database storage growth and can improve database performance by shrinking the amount of blob data managed inside the DB engine. The existing database can continue to store metadata and relational records, preserving application structure while improving cost efficiency and resilience. The other options either increase database cost further or shift to a much bigger redesign than needed.

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DynamoDB on-demand capacity mode is the best fit when traffic is unpredictable and the application must automatically scale read and write throughput without capacity planning. In on-demand mode, DynamoDB instantly accommodates changing request rates and charges based on actual read and write requests, which avoids over-provisioning for unknown traffic patterns. The DynamoDB Standard table class is appropriate because the workload expects moderate to high read and write activity. DynamoDB Standard-IA is designed for tables where storage is dominant and access is infrequent, so it is not the best match for an actively used web application backend. Provisioned capacity with auto scaling can be cost-effective for predictable workloads, but unpredictable traffic makes on-demand mode the safer and more operationally efficient choice.

TooManyRequestsException errors occur when Lambda exceeds concurrency limits. The recommended pattern is to use Amazon SQS with Lambda to decouple and buffer traffic, ensuring that bursts of requests are queued and processed smoothly. Enabling provisioned concurrency for Lambda ensures that functions are pre-initialized and ready to handle spikes in load with low latency. Step Functions (B) is designed for workflow orchestration, not high-throughput request buffering. SNS with Lambda (C) does not provide buffering and may overwhelm Lambda during bursts. Reserved concurrency (D) limits function scaling instead of improving resilience. Therefore, option A provides a scalable and resilient solution, minimizing errors during traffic surges.