GCP Cloud Digital Leader Practice Question

Machine learning systems can evaluate very large volumes of data and generate predictions or actions at machine speed. In this scenario, the recommendation model continuously analyzes millions of viewing events and immediately adjusts suggestions for each user, something that would be impossible for human teams to do manually. This demonstrates how ML creates business value by scaling data-driven decisions to many interactions in real time. The other options describe potential cloud or analytics benefits-such as lowering infrastructure costs, producing dashboards, or maintaining compliance-but they are not the primary ML-specific value highlighted here.