Question: How do humans and machines work as an effective team when running Google App campaigns?
- Machines can provide very detailed reporting, while humans handle the majority of optimisation tasks.
- Humans can monitor reports exclusively, while letting machine learning handle everything else.
- Humans and machines have complementary skill sets.
- Humans can verify creative assets made by machines, saving time in the process.
Explanation
In App campaigns, people provide the business objective, budget, bid strategy, locations, languages, and creative assets. Google Ads automation then tests asset combinations and optimizes delivery across Google properties. Machine learning uses signals to predict which users are most likely to complete the selected conversion goal. This division makes human strategy and automated optimization work together without requiring manual control of every placement or bid.
Why the other options are incorrect
A Overstates automation because human input is still needed for goals, assets, budgets, and measurement setup.
B Misrepresents the workflow because machines do not replace the advertiser’s responsibility for supplying effective creative direction.
D Reverses the App campaigns model because Google Ads automation handles much of the optimization work.
Source for verification
https://support.google.com/google-ads/answer/6247380?hl=en
https://support.google.com/google-ads/answer/15400292?hl=en
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Ads Apps Assessment" page.