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Home » Google Analytics 4 Certification Answers » Page 15
Google Analytics 4 Certification Answers To get your GA4 certificate you need to pass 50 question assessment. There are 150 possible questions and during the test you get 50 random questions from these 150. And in a random order. Our file contains all possible exam questions with verified answers.
The Google Analytics Certification assessment consists of 50 questions and you have 75 minutes to complete.
Questions:
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Explore Advertising Configure Reports
That data will only be used for audiences in Google Ads That data will only be used for measurement purposes That data will only be available in the Reports and Explore sections That data will only be available in the Advertising section
You create a report to show the types of devices users have been coming from over the past 30 days — whether they were on computers or mobile phones, for example. In this report, which of these is a “metric” in Google Analytics?
You are in your Google Analytics property’s Explore section. What exploration technique should you use in order to customize metrics and dimensions in a table format?
You’re using last-click attribution, but would like to see how first-click attribution would value channels and campaigns. Which report can you use to find this insight?
Conversion paths Funnel exploration Model comparison Segment overlap
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By vmartinez
You’ve created a new path exploration in Explore to gain insight into the top pages that new users open after opening your home page. You’re interested in sharing your findings with your colleague.
By default, who can see the exploration you just created?
By vmartinez
You work for an online vintage clothing retailer and store data about each of your sales items offline. Which of these features allows you to upload a CSV file containing item data you want to join with Analytics data?
Explanation:
The correct option is Data import. This feature enables the uploading of a CSV file containing offline sales item data to be joined with Analytics data. From my own experience working with e-commerce businesses, utilizing data import functionality has proven to be immensely valuable for enhancing the depth and richness of analytics insights. For instance, by uploading offline sales item data such as product attributes, sales channels, and transaction details, businesses can correlate this information with online analytics data to gain a comprehensive understanding of customer behavior, preferences, and purchasing patterns. This integration facilitates more accurate analysis, enables cross-channel attribution, and provides insights into the holistic customer journey. By leveraging data import capabilities, online vintage clothing retailers can unlock actionable insights to optimize product offerings, marketing strategies, and overall business performance. Thus, data import serves as a vital tool for bridging the gap between offline and online data sources, empowering businesses to make data-driven decisions and drive continuous improvement in their e-commerce operations.
You can upload CSV files that contain external data to an Analytics property. You can export those CSV files from an offline business tool like your CRM or CMS system, or for smaller amounts of data, you can create the files manually in a text editor or spreadsheet. You can import to Analytics using data import.
When you import data, you create a data source. A data source is the combination of the CSV file you want to upload and a mapping of existing Analytics fields to the fields in your CSV. The CSV file has to include the same fields, or subset of fields, as the original. If you want to import different fields for the same data type, you need to delete the existing data source and create a new one.
Read more here: https://support.google.com/analytics/answer/10071301
By vmartinez
Which of these tasks can be done using audience triggers?
Explanation:
Audience triggers let you trigger events when users match the definition of an audience and become members.
You can trigger events, for example, when users reach key milestones like initiating a certain number of sessions or reading a certain number of articles, or crossing conversion thresholds.
Read more here: https://support.google.com/analytics/answer/993410
By vmartinez
If you have a mobile app, what can you use to collect and send data from the app to your Google Analytics 4 property?
Explanation:
Firebase is Google’s mobile application development platform. It lets you build, improve, and grow your app across many mobile platforms, like Android and iOS.
To connect app data to Analytics, first create a Firebase account if you don’t already have one. Then create a Firebase project within your account.
A Firebase project is a container for your app within the Firebase platform. One Firebase project should contain all versions of a single app: iOS, Android, and web app.
Whether you built your app using Firebase or another platform, the Firebase SDK is how you connect your app to Analytics.
To start collecting basic app-usage data, add the Google Analytics for Firebase (GA4F) SDK to your app (iOS or Android).
Read more here: https://support.google.com/analytics/answer/9353532
By vmartinez
You created a new option for your users to sign up for a newsletter on your website. You’d like to mark those new sign-up events as conversions, and create a new audience for those users who signed up. Where in your Google Analytics 4 property can you manage your events, conversions, and audiences?
Explanation:
The correct answer is ‘Configure.’ In Google Analytics 4 properties, the ‘Configure’ section is where you can manage events, conversions, and audiences effectively. Personally, I’ve navigated this section extensively while setting up and optimizing analytics for various digital platforms. Within the Configure tab, you can define custom events to track specific user interactions, such as newsletter sign-ups, by creating event parameters tailored to your business goals. By marking these sign-up events as conversions, you can track their performance and assess their impact on your business objectives. Additionally, you can create audiences based on these events to target users who have engaged with your newsletter sign-up option, enabling more personalized and effective marketing campaigns. This centralized approach to managing events, conversions, and audiences in the Configure section streamlines the analytics process, providing a comprehensive overview of user behavior and enabling data-driven decision-making to drive business growth. In my experience, leveraging the Configure section effectively is crucial for extracting actionable insights from Google Analytics 4 data and optimizing digital strategies to enhance user engagement and conversion rates.
By vmartinez
What’s a key difference between Google Analytics 4 properties and Universal Analytics properties?