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You have many events on your website that are very valuable, like when users purchase items or sign up for your newsletter. You would like to mark these events as important and assign a value to these events when they happen. What should you mark these events as in your Google Analytics 4 property?

  • Conversion events
  • Recommended events
  • Custom events
  • Goals

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You want to know what pages new users open most often after opening your home page, so you create a new path exploration in Explore that you plan to share with a co-worker. Who can see this new path exploration, by default?

  • Only you can see it, but you can share it with the other users of the property in read-only mode.
  • Anyone in your property can access it and make edits.
  • Anyone in your property can access it in read-only mode.
  • Only you can see it, but you can share it with the other users of the property for them to make edits.

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You’re setting up your web data stream so that your website is feeding your Google Analytics property with data. While setting up this web data stream, what happens when you leave the enhanced measurement setting enabled?

  • Conversion reporting for the web data stream uses machine learning to distributes credit across channels
  • Additional events are collected from your website without you needing to change your website’s code
  • Events from your mobile app can be combined with your existing website data
  • Events can be associated with signed-in users to enable cross-device reporting

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You want to create new audiences for your eCommerce site by segmenting users according to parameters that make sense for your business, like those who’ve made a purchase. Which of these approaches would provide you with a predictive audience?

  • You create an audience of users who started checking out but didn’t complete the purchase
  • You create an audience of users who added items to their purchase wishlist
  • You create an audience of users who are likely to purchase in the next seven days
  • You create an audience of users who made a purchase in the last 30 days

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