Question: 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)
- Machine learning can analyse millions of signals and placements in real time.
- Machine learning reduces human bias and common errors.
- Machine learning can have a better understanding of business objectives.
- Machine learning is more capable of interpreting human emotion.
Explanation
Machine learning supports App campaigns by processing large volumes of signals that would be impractical to evaluate manually. It can adjust delivery across placements and users in real time based on conversion likelihood. Automation also helps reduce manual bias and avoid common optimization mistakes caused by limited data interpretation. Human input remains important for strategy, goals, budgets, measurement, and creative assets.
Why the other options are incorrect
Human emotion Machine learning predicts performance from signals, not emotional interpretation.
Business objectives Business goals must be defined by the advertiser before Google Ads automation can optimize toward them.
Source for verification
https://support.google.com/google-ads/answer/6247380?hl=en
https://support.google.com/google-ads/answer/7065882?hl=en
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