Let's try another sample exam question. Use Data Studio to visualize YouTube titles and aggregated view counts summarized over 30 days and segmented by Country Code in the fewest steps. Set up a YouTube data source for your channel data for Data Studio, set views as the metric, and set video title as a report dimension, set Country Code as a filter. Set up a YouTube data source for your channel data for Data Studio, set views as the metric, and set video title and Country Code as report dimensions. Export your YouTube views to Cloud Storage, setup a Cloud Storage data source for Data Studio, set views as the metric, and set video title as a report dimension, set Country Code as a filter, or export your YouTube views to Cloud Storage, setup a Cloud Storage data source for Data Studio, set views as the metric, and set video title and Country Code as report dimensions. Ready to see the answer? The answer is B: Set up a YouTube data source for your channel data for Data Studio. Set views as the metric and set video title and Country Code as report dimensions. In this case, you would use a connector. Country Code is filter with simply dropout not segment, dimensions describe in group data, so it would have the effect of segmenting the report. However, Data Studio includes a feature called segments which is set separately for using Google Analytics segments. B is correct because there's no need to export. You can use the existing YouTube data source. Country Code is a dimension because it's a string and should be displayed as such, that is showing all countries instead of filtering.