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What’s a key difference between Google Analytics 4 properties and Universal Analytics properties?

  • Google Analytics 4 properties use “dimensions” as the foundation for data collection and reporting, while Universal Analytics uses “events” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “sessions” as the foundation for data collection and reporting, while Universal Analytics uses “events” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “events” as the foundation for data collection and reporting, while Universal Analytics uses “sessions” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “sessions” as the foundation for data collection and reporting, while Universal Analytics uses “dimensions” as the foundation for data collection and reporting.

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You want to run queries and combine some of your offline data with Analytics data. To do so, you want to export your Google Analytics data to BigQuery. What Analytics properties are able to export data to BigQuery?

  • Standard or Analytics 360 properties using GA4
  • Only Standard properties in GA4 or Universal Analytics
  • Standard or Analytics 360 properties using Universal Analytics
  • Only Analytics 360 properties in GA4 or Universal Analytics

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In which of these situations could you use the Engagement overview report in Google Analytics?

  • You’d like insight into your users’ interests they’ve express through their online browsing and purchase activities.
  • You’re interested in seeing where users are coming from before landing on your website.
  • You’re interested in monitoring user activity as it is happening on your site.
  • You’re interested in seeing which pages on your site are getting the most traffic.

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After exporting Google Analytics data to BigQuery, what new opportunity do you have to use your data?

  • You can use SQL to query your data to answer questions and gain insights into your products, users, and channels
  • You can access app-specific reports such as crash data, notification effectiveness, and deep-link performance
  • You can use conversions for ad campaign bidding, and audiences to target ad campaigns
  • You can use audiences to target website experiments and test variants of your web pages

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Your business has a website and an app for both iOS and Android. If you want to analyze events and users together across these three, what would your account setup look like?

  • One property with a web data stream for your website and one property with an app data stream for your app
  • One property with one web data stream for your website and one app data stream for your app
  • One property with one web data stream for your website and two app data streams, one for iOS and the other for Android
  • One property with a web data stream for your website and one property with two app data streams, one for iOS and the other for Android

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You’re asked to set up a data stream in accordance with setting up Google Analytics. What is a data stream?

  • A data stream lives within Reports and lets you segment and compare your data
  • A data stream lives within an account and is the container for the data you collect from your apps and sites
  • A data stream lives within a property and is a source of data from your app or website
  • A data stream lives within Explore and, once defined, can be added to any exploration

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