Your team at Starbx Coffee would like you to create a forecast for sales. Given the nature of daily coffee consumption, with customers drinking more coffee in the morning, and around the same total amount each day, what type of seasonality would you most likely use for your forecast?

Question 2 options:

True or False? Drag-and-drop analytic items can be applied to multiple measures in a data visualization, such as a stacked or dual-axis chart.

Question 3 options:

Consider the bar chart displaying profit by category below. If you wanted to apply an average line to each individual region, what scope would you use?

Question 5 (10 points)

True or False? The drag-and-drop custom "Reference Line" item allows you to create your own, custom aggregation formulas or calculations.

Question 5 options:

When creating an extract, you can limit the amount of data saved based on:

Question 6 options:

True or False? When creating a Tableau Data Source, it's generally recommended to use custom SQL whenever possible.

Question 7 options:

To answer questions 8 – 10 use the bar chart below.

Question 8 (10 points)

What drag-and-drop analytic item was used in this visualization?

Question 8 options:

Question 9 (10 points)

What analytic scope was used in this visualization?

Question 9 options:

What does the drag-and-drop analytics show?

Question 10 options: