Angela is explaining the advantages of machine learning in Google App campaigns to her colleagues. Which two statements are strong arguments for using machine learning over human input? (Choose two)

These two points strongly support the use of machine learning over manual input: it can process millions of signals and placements in real time, and it helps minimize human bias and reduce common errors.

• Machine learning can have a better understanding of business objectives.
• Machine learning is more capable of interpreting human emotion.
• Machine learning can analyze millions of signals and placements in real time.
• Machine learning reduces human bias and common errors.

Explanation:
Angela is explaining to her colleagues why machine learning is a powerful asset in managing Google App campaigns. Given the massive volume of data—millions of signals and placements—it’s clear that the system needs time to learn and optimize effectively. Attempting to manually manage and optimize this complexity in real time is simply not feasible. When machine learning kicks in and campaign performance improves, it reflects positively on the marketing team’s efforts.

Moreover, the challenges of manual A/B testing and the risk of human bias are significantly reduced with automation. Machine learning handles creative testing more efficiently, makes data-driven decisions at scale, and minimizes common human errors. These capabilities form a strong case for trusting machine learning over manual input when running sophisticated App campaigns.