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Home » Google Analytics 4 Certification Answers » Page 10
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
How do Google Analytics 4 properties differ from Universal Analytics properties?
Explanation:
The selected answer, ‘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,’ is correct. This fundamental difference signifies a significant shift in how data is structured and analyzed between the two platforms. In practical terms, while Universal Analytics primarily focuses on tracking user interactions within predefined sessions, Google Analytics 4 emphasizes event-based tracking, allowing for a more granular understanding of user behavior across sessions. As someone who has transitioned from Universal Analytics to Google Analytics 4, I’ve noticed that this shift enables a more comprehensive and flexible approach to data analysis. For instance, with event-based tracking, I can capture specific user actions such as button clicks, form submissions, or video views, providing deeper insights into user engagement and interaction patterns. This shift aligns well with the evolving landscape of digital analytics, where businesses seek more nuanced insights into user behavior to optimize their online experiences effectively. Additionally, leveraging events as the primary data point facilitates easier integration with other tools and platforms, enabling a more holistic view of the customer journey. Overall, understanding this distinction between session-based and event-based tracking is crucial for maximizing the capabilities of Google Analytics 4 and harnessing its full potential for data-driven decision-making in digital marketing and beyond.
Read more here: https://support.google.com/analytics/answer/9964640
By vmartinez
If you were using last-click attribution and wanted to see how channels and campaigns would be valued under first-click attribution, which report would you look at to find this insight?
Explanation:
The correct answer is Model comparison. When utilizing last-click attribution and seeking insights into how channels and campaigns would be valued under first-click attribution, the Model comparison report is the appropriate tool to use. In practical terms, this report allows marketers to compare the performance of different attribution models side by side, including first-click attribution. Personally, in my experience as a digital marketer, I’ve often relied on the Model comparison report to gain a deeper understanding of the impact of various attribution models on the evaluation of marketing channels and campaigns. By comparing how conversions are attributed across different models, such as first-click, last-click, or linear attribution, I can assess the relative importance of each touchpoint in the customer journey and identify any discrepancies or trends that may influence decision-making. For example, comparing first-click and last-click attribution can reveal insights into the effectiveness of different channels in driving initial awareness versus closing the sale. This information is invaluable for optimizing marketing strategies, budget allocation, and campaign targeting to maximize ROI. Additionally, the Model comparison report enables marketers to evaluate the performance of attribution models over time and adjust their strategies accordingly to adapt to changing consumer behavior and market dynamics. Overall, leveraging the Model comparison report facilitates data-driven decision-making and empowers marketers to refine their attribution models to better reflect the true impact of their marketing efforts on conversions.
By vmartinez
How can Google Ads use audiences from Google Analytics when the two are linked?
Explanation:
The correct answer is ‘Audiences in Google Ads can be used to target ad campaigns.’ When Google Analytics and Google Ads are linked, audiences created in Google Analytics can be seamlessly imported into Google Ads for targeting purposes. Personally, I’ve utilized this integration to enhance the effectiveness of advertising campaigns by leveraging audience insights from Google Analytics. By importing audiences such as high-value customers, abandoned cart users, or users who have completed specific actions on the website, advertisers can create highly targeted and personalized ad campaigns in Google Ads. This approach ensures that ads are served to relevant audiences who are more likely to engage and convert, ultimately improving campaign performance and ROI. In my experience, leveraging Google Analytics audiences in Google Ads has been instrumental in driving higher conversion rates and maximizing advertising spend efficiency. By aligning audience targeting across both platforms, businesses can create cohesive marketing strategies that effectively engage their target audience throughout the customer journey.
By vmartinez
Where in Google Analytics Reports can you find insights into where users are coming from (e.g., search engine results) before visiting your website?
Explanation:
In Google Analytics, the Acquisition reports provide valuable insights into where users are coming from before visiting your website. As someone who regularly analyzes website traffic and user behavior, I rely heavily on the Acquisition reports to understand the sources driving traffic to my website. These reports segment incoming traffic into various channels such as organic search, paid search, direct, referral, and social, offering a comprehensive view of the sources contributing to website visits. Additionally, within the Acquisition reports, specific reports like the ‘All Traffic’ report and the ‘Channels’ report provide further granularity, allowing me to dive deeper into the performance of individual channels and understand which ones are driving the most valuable traffic. This information is invaluable for optimizing marketing efforts, identifying opportunities for improvement, and allocating resources effectively. By leveraging the insights provided in the Acquisition reports, I can make informed decisions to enhance my website’s visibility, attract relevant audiences, and ultimately drive business growth.
By vmartinez
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?
Explanation:
The correct answer is Standard or Analytics 360 properties using GA4. Google Analytics offers the capability to export data to BigQuery for both Standard and Analytics 360 properties using the GA4 (Google Analytics 4) platform. This functionality allows users to combine their Google Analytics data with other offline data sources, enabling more advanced analysis, reporting, and insights generation. In practical terms, exporting data to BigQuery from GA4 properties facilitates the integration of online and offline data, providing a comprehensive view of customer interactions and behaviors across various touchpoints. Personal experience in leveraging this feature has demonstrated its value in gaining deeper insights into customer journeys, optimizing marketing strategies, and driving business growth. By exporting Google Analytics data to BigQuery, businesses can unlock the full potential of their data assets, enabling more informed decision-making and ultimately improving overall performance and competitiveness in the market.
By vmartinez
In which of these situations could you use the Engagement overview report in Google Analytics?
Explanation:
The correct option is You’re interested in seeing which pages on your site are getting the most traffic. Utilizing the Engagement overview report in Google Analytics is particularly beneficial when you want to understand the level of interaction and engagement with different pages on your website. This report provides insights into metrics such as pageviews, average time on page, bounce rate, and more, allowing you to gauge the performance and popularity of various pages. In my experience optimizing website performance, the Engagement overview report has been instrumental in identifying high-traffic pages, analyzing user behavior patterns, and uncovering opportunities for content optimization and user experience enhancement. By leveraging this report, businesses can prioritize efforts on pages that drive the most engagement, refine content strategies to align with user preferences, and ultimately improve overall website performance and user satisfaction. Moreover, understanding which pages are receiving the most traffic enables businesses to optimize internal linking structures, promote important content effectively, and drive desired user actions more strategically. Overall, the Engagement overview report serves as a valuable tool for website analysis and optimization, helping businesses make data-driven decisions to achieve their objectives.