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If you want to permanently switch the default primary dimension for the User Acquisition Report within your Google Analytics property, which action should you take to do this?

• You should edit the built-in report using the customization feature.
• You should select a new primary dimension.
• You should create an exploration with the new primary dimension.
• You should add a custom dimension to the report.

Explanation:

You should edit the built-in report using the customization feature because this action allows you to make permanent changes to the User Acquisition Report, including switching the default primary dimension. By utilizing the customization feature, you can save your preferences so that every time you access the report, it reflects the updated primary dimension you’ve selected. This capability enhances your workflow by ensuring that you consistently view the most relevant data without needing to adjust the settings each time you generate the report.

Because you’ve set up your web data stream, your website is already feeding data to your Google Analytics property.

• “You notice that enhanced measurement is enabled for the web data stream. What happens when this setting is enabled?”
• “Events from your mobile app can be combined with your existing website data”
• “Conversion reporting for the web data stream uses machine learning to distributes credit across channels”
• “Events can be associated with signed-in users to enable cross-device reporting”
• “Additional events are collected from your website without you needing to change your website’s code”

You’d like to further break down and analyze the data shown in a standard table report. Which feature would you select to do that?

• Select Comparisons.
• Select Breakdowns.
• Select Secondary Dimension.
• Select Filters.

Explanation:

The correct answer is Select Secondary Dimension. By selecting the Secondary Dimension feature in a standard table report in Google Analytics, you can add an additional layer of data to your analysis, allowing for a more nuanced breakdown of the existing metrics. This enables you to examine how different variables interact with each other, providing deeper insights into user behavior and performance metrics. Using Secondary Dimensions helps identify trends and correlations that might not be apparent when looking at the primary dimension alone, enhancing the overall effectiveness of your data analysis.

When linking your Google Analytics property to BigQuery, what are two options you’ll see when choosing how frequently data is exported to BigQuery?

• Daily and Weekly
• Daily and Streaming
• Hourly and Streaming
• Weekly and Streaming

Explanation:

The correct answer is Daily and Streaming. When linking your Google Analytics property to BigQuery, you have the option to choose between daily exports and streaming data. Daily exports allow for a comprehensive batch of data to be sent at once, typically occurring overnight, which is suitable for most reporting needs. On the other hand, streaming provides near real-time data updates, enabling immediate access to user interactions as they happen. This flexibility in export options allows businesses to tailor their data analysis needs based on the speed and volume of insights they require.

When your team wants to troubleshoot data discrepancies or unexpected trends in your Google Analytics property, which dimensions should they use to identify anomalies or potential issues?

• They should use page path, screen resolution, item name.
• They should use country, OS version, operating system with version.
• They should use OS version, operating system with version, key event.
• They should use item name, device category, date.