Getting Started With Google Analytics 360 Assessment 2 Answer

Total Number of Questions: 5

1. What is BigQuery?

    • Data Visualization Tool
    • Data Warehouse
    • Dynamic Optimization Tool
    • Data Transfer Service

2. Which of the following are benefits of using BigQuery to analyze your Analytics 360 data? (select three)

    • You can access hit-level data
    • You can query unsampled user page paths
    • You can create fast, easy-to-share dashboards and charts
    • You can combine your Analytics 360 data with data from other sources

3. What reporting objectives can be accomplished in BigQuery but not within the Google Analytics interface? (select two)

    •  Analyzing and visualizing Source/Medium values for all website users.
    •  Reporting on e-commerce transaction rates for each brand of your business.
    • Reporting on the amount of time between events occurring across multiple sessions.
    • Reporting on the unsampled pageview paths that users followed.

4. What needs to be created before completing the BigQuery integration with Analytics 360?

    •  Data Table
    •  Google Drive
    •  BigQuery API
    • Google Cloud Platform Project

5. Using the BigQuery Export schema, which of the following fields are available in BigQuery?

    • Custom dimensions, landing page, hit number, client ID
    • Clicks, impressions, hit number, client ID
    • Custom channel groups, landing page, time on page
    • Custom dimensions, hit number, client ID
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