- Hourly and Streaming
- Daily and Weekly
- Daily and Streaming
- Weekly and Streaming
Home » Google Analytics 4 Certification Answers » Page 2
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
You just added a feature to your website allowing users to sign up for a newsletter. Now, you want to mark new sign-up events as conversions and create an audience for people who signed up.
What part of your Google Analytics 4 property helps you manage events, conversions, and audiences?
By vmartinez
You generate a report to show how many users are coming from various device types, like computers and mobile phones, over the past 30 days. In this report, which of these is a “metric” in Google Analytics?
Explanation:
The correct answer is ‘How many users were on mobile phones.’ In the context of Google Analytics reporting, a metric is a quantitative measurement or data point that provides information about user interactions, behaviors, or outcomes. Personally, I’ve generated numerous reports in Google Analytics, and metrics are essential for quantifying various aspects of website performance. In this specific report, ‘How many users were on mobile phones’ represents a metric because it quantifies the number of users who accessed the website using mobile phones, providing valuable insights into user behavior across different device types. By analyzing metrics like mobile phone users, businesses can understand the distribution of traffic across devices, identify trends, and make data-driven decisions to optimize their website for mobile users. For instance, insights from this metric may lead to responsive design improvements, mobile-specific content optimizations, or adjustments to advertising strategies to better target mobile users. In my experience, leveraging metrics in Google Analytics reports enables businesses to track key performance indicators, measure the effectiveness of marketing efforts, and identify opportunities for enhancing user experiences across various devices. Overall, metrics like ‘How many users were on mobile phones’ provide actionable insights that drive strategic decisions and improvements in digital performance.
By vmartinez
To gain insight into which pages new users open most often after they open your home page, you’ve created a new path exploration in Explore.
What’s the default setting for who can see the exploration?
Explanation:
The correct answer is Only you can see it, but you can share it with the other users of the property in read-only mode. This default setting ensures that the path exploration remains private to the creator, allowing for initial analysis and adjustments before sharing with others. In my experience using Explore for path exploration, this default setting has been particularly useful in maintaining data integrity and preventing unintended changes to the exploration by other users. Once I’ve conducted my analysis and verified the accuracy of the results, I can then share the exploration with colleagues or stakeholders in read-only mode, enabling them to view the insights without the risk of altering the exploration inadvertently. This approach fosters collaboration while safeguarding the integrity of the data and analysis. Additionally, having the ability to control who can access and edit the exploration ensures that sensitive or proprietary information remains protected within the organization. Overall, this default setting strikes a balance between privacy and collaboration, enhancing the effectiveness of path exploration in gaining valuable insights from Google Analytics.
By vmartinez
Which of these platforms can be connected to Analytics so that you can test variants of your web pages with specifically tailored audiences?
By vmartinez
One of these attribution models distributes the credit for a conversion equally across all the channels a customer clicked or engaged with before converting. Which is it?
By vmartinez
When Google Analytics and Google ads are linked, how can Google Ads utilize conversion events from Google Analytics?
Explanation:
The correct answer is ‘Google Ads can use these conversions to optimize your bids for ad placements.’ This functionality allows for a seamless integration between Google Analytics and Google Ads, enabling Google Ads to leverage conversion events tracked in Google Analytics to optimize bidding strategies for ad placements. Personally, I’ve experienced the significant impact of this integration on digital advertising campaigns. By utilizing conversion data from Google Analytics, Google Ads can adjust bids in real-time based on the likelihood of conversion, maximizing the effectiveness of ad spend and improving the overall ROI of advertising efforts. This bid optimization relies on insights derived from user behavior captured by Google Analytics, ensuring that bids are tailored to target audiences most likely to convert. In practice, I’ve seen this integration drive improved campaign performance by directing ad spend towards high-converting audiences and placements, ultimately driving more meaningful results for businesses. By leveraging conversion events tracked in Google Analytics, Google Ads can continuously refine bidding strategies, adapt to changing market conditions, and ultimately enhance the success of advertising campaigns.