What are two ways that marketers can benefit from machine learning in Google Ads? (Choose two)

Machine learning in Google Ads is designed to optimize campaigns based on the goals marketers set, such as maximizing conversions or return on ad spend. It achieves this by analyzing vast amounts of data and hundreds of signals (like device, location, time of day, and past performance) to make real-time adjustments, which saves marketers significant time compared to manual optimization. While machine learning automates many processes, it does not evolve campaign goals automatically; marketers must define these goals. Similarly, while it can automate bidding strategies, it doesn't automatically set entire campaign budgets without marketer input.