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You are a data scientist at a media company processing large volumes of video and image data stored in Amazon S3. The dataset includes tens of millions of small image files and several terabytes of high-resolution large video files. Your Amazon SageMaker training jobs require low-latency, high-throughput access to this data and must complete quickly to keep up with a dynamic content pipeline. Which approach is the MOST appropriate to optimize data access for these training jobs?