- Hourly and Streaming
- Daily and Weekly
- Daily and Streaming
- Weekly and Streaming
Home » Google Analytics 4 Certification Answers » Page 18
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:
===
===
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
___
By vmartinez
Which of these definitions describe a data stream as it relates to Google Analytics?
Explanation:
A flow of data from your website or app to Analytics. There are 3 types of data stream: Web (for websites), iOS (for iOS apps), and Android (for Android apps).
Data stream: Lives within a property, and is the source of data from an app or website. The best practice is to use a maximum of 3 data streams per property: 1 single web data stream to measure the web user journey and 1 app data stream each for iOS and Android.
Each Google Analytics 4 property can have up to 50 data streams (any combination of app and web data streams, including a limit of 30 app data streams).
A data stream is a flow of data from a customer touchpoint (e.g., app, website) to Analytics.
When you create a data stream, Analytics generates a snippet of code that you add to your app or site to collect that data. Data is collected from the time you add the code, and that data forms the basis of your reports.
Read more here: https://support.google.com/analytics/answer/9355659
Read more here: https://support.google.com/analytics/answer/9679158
Read more here: https://support.google.com/analytics/answer/9303323
By vmartinez
By vmartinez
Which of these attribution models distributes the credit for a conversion equally across all the channels a customer clicked or engaged with before converting?
Explanation:
The correct answer is Linear. This attribution model distributes the credit for a conversion equally across all the channels a customer interacted with before converting. In practical terms, this means that each touchpoint in the customer journey, regardless of when it occurred or its position in the sequence, is given equal importance in contributing to the conversion. Personally, in managing digital marketing campaigns, I’ve found the linear attribution model to be particularly useful in gaining a holistic understanding of the customer journey and the effectiveness of different marketing channels. By attributing equal credit to each touchpoint, I can assess the overall impact of my marketing efforts across various channels, from initial awareness to the final conversion. This insight allows me to allocate budget and resources more effectively, optimizing the marketing mix to maximize ROI. Moreover, the linear attribution model provides valuable insights into the customer’s behavior and preferences throughout the entire conversion path, helping me identify opportunities for improving the user experience and optimizing conversion funnels. Overall, leveraging the linear attribution model enables marketers to gain a comprehensive understanding of the customer journey and make data-driven decisions to enhance campaign performance and drive business growth.
By vmartinez
You manage a gardening company and you post a new how-to video on your website for your customers. In Google Analytics you find lots of data about the user interactions with this video. While looking through your data, which of these is a ‘user property’ collected by Google Analytics?
Explanation:
The correct option is The language preference of users watching the video on your site. In Google Analytics, a ‘user property’ refers to a characteristic or attribute of the user that is collected and analyzed to gain insights into their behavior and preferences. Language preference is one such user property, indicating the language settings chosen by users accessing the website. From a practical perspective, understanding the language preferences of users consuming content, such as how-to videos on gardening, can be immensely valuable for businesses like yours. For instance, if you notice a significant portion of your audience prefers Spanish, you may consider providing translated subtitles or creating separate videos in Spanish to cater to their needs more effectively. In my experience working with analytics data, leveraging user properties like language preference has enabled businesses to personalize content, improve user experience, and ultimately drive engagement and satisfaction among their audience. By tailoring content to match user preferences, businesses can enhance their brand perception, foster stronger connections with their audience, and ultimately achieve better business outcomes.
By vmartinez
Your website visitors already trigger the page_view event when they view any page on your site, but you want to define a new event to trigger when visitors land on a specific page, like the homepage.
When you navigate to Events in the Google Analytics interface, which option can you choose to define this homepage view event?
By vmartinez
To understand how many users are coming from various devices, like computers or mobile phones, you run a report that shows this data, per device, over the past 30 days.
In this report, which of these is considered a “metric” in Google Analytics?