You are designing an input pipeline for a machine learning model that processes high-resolution images from multiple sources at high speed. The dataset is too large to fit into memory, and you need to ensure the pipeline is scalable, cost-effective, and complies with Google's recommended practices for handling large datasets. Which of the following approaches should you implement? (Choose one correct option) | Google Professional Machine Learning Engineer Quiz