An analyst is trying to rank companies in an Explore and visualize the rank as a column chart. The analyst selects the Brand Name dimension and the Rank dimension. They then select the column chart visualization type, but receive the error "Measure, time or numeric field required: Column graphs require at least one dimension or for the first dimension field to be of type: number or type: time".
How can the analyst resolve this error while showing the rank as a column visualization?

• A. Select a measure to include in the Explore, then create a table calculation that adds the Rank dimension to the measure multiplied by zero using the syntax ${dimension} + (${measure}*0). Then hide the measure from the Explore.
• B. Pivot the Explore by brand Rank.
• C. Pivot the Explore by the Brand Name dimension.
• D. Select a measure to include in the Explore, then create a table calculation that multiplies the dimension by 1.0 using the syntax ${dimension}*1.0. Then hide the measure from the Explore.

An analyst pins a dashboard from a personal folder to the team board. Other colleagues report that they cannot access the dashboard. There are a few dashboards in the personal folder that are not ready to share yet.
What should the analyst do to enable the team's access?

• A. Move the dashboard to a shared folder and provide access only to the users from the team.
• B. Give all users view access to the personal folder.
• C. Create a subfolder in the personal folder and given view access to the users from the team.
• D. Give view access to the individual dashboards.

An executive needs to receive a dashboard every morning with data for the previous day only. The dashboard currently has a date filter defined. The executive must receive only the data requested, and the dashboard data needs to remain unchanged for all other users.
What should the analyst do to meet this requirement?

• A. Edit the dashboard data filters default value to be the previous day's date, and create a new schedule.
• B. Create a new schedule and modify the filter's default value to the previous day's date.
• C. Create a new schedule and modify the schedule filter to be the advanced value "yesterday".
• D. Filter the dashboard for the advanced value "yesterday", and create a new schedule.

An analyst creates a column chart showing the count of total orders and the count of returned orders on each date. The number of returned orders is much smaller than the number of total orders, so the columns for the returned orders are short and it is difficult to compare all the columns visually.
How should the analyst ensure that the differences between returned order counts for each day are more visible?

• A. Change the y-axis height to a higher number of pixels.
• B. Move the returned orders series to a new right axis.
• C. Set the x-axis to use a log scale.
• D. Change the returned orders series to a line type.