Google Ads App Certification

Anne is looking at the “Performance” column in the asset report of her Google App campaign. She wants to see how specific assets have been performing. She notices the terms “low”, “good”, and “best” in the column. Asset ratings are distributed based on which criteria?

The number of impressions they receive in each ad group. The all conversion value they acquired over the last 30 days. The average click-through rate (CTR) they acquired over the last 30 days. The number of conversions they receive in each ad group.

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 analyze 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.

Increased asset variety helps ads show up across more of Google inventory. Increased asset variety lets ads show only on YouTube. Increased asset variety lets ads be more visible in Google Search. Increased asset variety lets ads show across more geographic locations within Google inventory.

Machine learning delivers relevant ads to each customer. Machine learning creates company strategies. Machine learning measures performance more effectively. Machine learning builds great customer relationships.