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An organization is using Amazon Lookout for Vision to detect anomalies in product images during manufacturing. They want to automate the process of combining machine learning inference results with production metadata stored in Amazon DynamoDB to enhance monitoring and decision-making. Which AWS service integration and deployment strategy is the most effective for this use case?