Which of the following statements are true about creating User Experience filters? (Choose three.)
Which of the following statements are true about creating User Experience filters? (Choose three.)
Only users with the admin role have the permissions necessary to create User Experience filters. For these filters to work properly in workspaces, it is required to configure an event handler to apply them. Additionally, once a single filter is created, it can be utilized across all visualizations within a workspace, facilitating uniform data representation and filtering throughout the workspace.
What calendar type can you use to analyse scores using time periods?
To analyze scores using time periods, the 'Custom Business Calendar' is the appropriate option. This is because it allows for the analysis based on specific business or operational periods that may not align with standard calendar periods, providing flexibility for businesses to track performance in accordance with their unique timelines.
What role or access do users need to act on a signal to reset a baseline or dismiss a signal?
To act on a signal, such as to reset a baseline or dismiss a signal, users need the admin, pa_admin, or pa_kpi_signal_admin role. These roles have the necessary permissions to perform these actions, even if the users are not explicitly designated as responsible users. Users without these roles or without appropriate workspace access cannot perform these actions.
Which of the following data update settings for single score visualisations shows the timestamp of when the score was last updated?
The data update setting for single score visualizations that shows the timestamp of when the score was last updated is 'Show score update time'. This setting enables the display of the last update time, providing users with a temporal context for the data presented.
Which of the following are true statements about configuring pie, donut, and single score visualisations in workspaces?
Data labels in pie, donut, and single score visualizations can be shown as only percentages, as values, or as both, allowing for flexibility in presenting data. Legend percentages are shown along with values, which enhances the viewer's understanding by showing both the actual value and its percentage of the whole. It is also possible to set gradient, texture, or no color options for data display, enabling varied graphical representations to suit different presentation needs. The statement about the metric label name being displayed near the metric value is incorrect; usually, these visualizations focus on the data point itself rather than additional labels near the metric.