QuestionQ22

Operational Efficiency and Optimization for GenAI Applications

A financial services company must build a document-analysis system using Amazon Bedrock to process quarterly reports. The system must analyze financial data, perform sentiment analysis, and validate compliance across batches of reports. Each batch contains 5 reports. Each report requires multiple foundation model (FM) calls. The solution must complete the analysis within 10 seconds for every batch. The current sequential processing takes 45 seconds for each batch.

Which solution will satisfy these requirements?

Explanation

AWS Step Functions can use a Parallel state to run independent branches concurrently. Invoking separate Lambda functions simultaneously for financial analysis, sentiment analysis, and compliance validation removes the sequential processing bottleneck, making the 10-second batch target achievable when the parallel branches complete within that limit. Bedrock client timeouts and CloudWatch latency metrics support controlling and monitoring the concurrent inference workflow.

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