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How do Responsive Display Ads use automation? a. Responsive Display Ads use a machine-learning model to create an advertiser's assets, using assets that have performed well in the past. b. Responsive Display Ads automate ad creation for most apps, but not desktop and mobile devices. c. Responsive Display Ads leverage powerful machine-learning models to generate reports customized to meet the specific requirements of each campaign. d. Responsive Display Ads use a machine-learning model to determine optimal assets for each ad slot using predictions based on an advertiser's performance history.

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Answer:

Option D.

Explanation:

Responsive display ads replace adaptable advertising as that of the basic ad form for the Viewing Network. These could be used for both regular show campaigns and Mobile Viewing campaigns. Export the resources such as pictures, titles, icons, clips, and representations to develop a responsive display ad and Google will generate advertisements to be viewed on a Google Display Network.

So, Responsive Display Ads will be using a machine-learning model using forecasts performance-based history of an advertiser to assess optimum assets with each ad slot.

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