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Connect to the 'Global Superstore' data source and find out which 'Customer Name' (ignore the customer ID) has returned the highest percentage of his\her orders?

A.
Michael Oakman
A.
Michael Oakman
Answers
B.
Daniel Lacy
B.
Daniel Lacy
Answers
C.
Greg Tran
C.
Greg Tran
Answers
D.
Yoseph Carroll
D.
Yoseph Carroll
Answers
Suggested answer: B

Explanation:

Left join the Orders and Returns table

Number of orders returned will be order ID from the returns table divide by total orders

Drop the customer name and ret order field in the view.

Connect to the Olympic Athletes data source, which athlete won at least one gold in 2008 Olympics and then won at least 4 golds in 2012 Olympics.

A.
Missy Franklin
A.
Missy Franklin
Answers
B.
Usain Bolt
B.
Usain Bolt
Answers
C.
Dana Vollmer
C.
Dana Vollmer
Answers
D.
Michael Phelps
D.
Michael Phelps
Answers
Suggested answer: D

Explanation:

Find out how many gold medals each athlete won in the 2008 Olympics

Drop Athlete to Rows and 2008 golds to the Text. Drop gold medals to the view. Your view will look like this:

Now we need work on 'won at least 4 golds in 2012 Olympics'

Drop years to filters and select 2012.

Drop Gold Medals to filter and mention 4 in range of values (as we need to find athletes who won at least 4 gold medals)

Final view:

Connect to the 'Global Superstore' data source and use the Orders table. Find out the customers who placed their first order in 2013 and what is the total sales value of these customers in the same year?

A.
$414,302
A.
$414,302
Answers
B.
$2,263,137
B.
$2,263,137
Answers
C.
$483,269
C.
$483,269
Answers
D.
$2,385,198
D.
$2,385,198
Answers
Suggested answer: C

Explanation:

Find the minimum order date for each customer

Drop the order date, Min Order date, and Sales to the view

$2,263,137 is the sales value in 2013 of the customers who placed their first order in 2013.

Connect to the 'Global Superstore' data source and create a view to show only those orders which were returned. What is the unique number of orders returned in the North Africa region in the office supplies category? Consider only those orders which were shipped using Standard Class ship mode.

A.
16
A.
16
Answers
B.
12
B.
12
Answers
C.
14
C.
14
Answers
D.
10
D.
10
Answers
Suggested answer: B

Explanation:

Create an inner join between Orders and Returns table using Order ID

Create a calculated field to find the unique order.

Drop Region, Ship Mode, and Category to Rows. And drop 'countd order' field to Text. The final view would look like this:

Connect to the 'Global Superstore' data source and use the Orders table. Find out how many days in the month of May 2012 were profitable?

A.
16
A.
16
Answers
B.
18
B.
18
Answers
C.
20
C.
20
Answers
D.
22
D.
22
Answers
Suggested answer: C

Explanation:

Here we have created the Fixed LOD expression and fixing the order date. If profit is greater than 0 it means profitable day/month/quarter/year depends on what you need to find. If profit < 0 then not profitable.

Drop the Order Date to the rows and drill-down it till months.

Drop the profitable days field to the Text, aggregated as SUM. So it will find a number of days.

We can create variable size bins using ___________?

A.
Groups
A.
Groups
Answers
B.
Calculated Fields
B.
Calculated Fields
Answers
C.
Sets
C.
Sets
Answers
D.
Hierarchies
D.
Hierarchies
Answers
Suggested answer: B

Explanation:

Only by using Calculated fields you can create a variable size bin.

Which of the following are true when you use the cube data source in Tableau?

A.
Forecasting and trend lines are not supported.
A.
Forecasting and trend lines are not supported.
Answers
B.
The cube data source can only be used as a secondary data source for blending data in Tableau.
B.
The cube data source can only be used as a secondary data source for blending data in Tableau.
Answers
C.
Data source filters are not available.
C.
Data source filters are not available.
Answers
D.
You cannot create groups when working with a cube data source.
D.
You cannot create groups when working with a cube data source.
Answers
Suggested answer: A, C, D

Explanation:

Cube data sources can only be used as the primary data source for blending data in Tableau.

All others are true.

Refer: https://help.tableau.com/current/pro/desktop/en-us/cubes.htm

In a combined axis chart, using which field we get multiple measures on a single axis?

A.
Measure Names
A.
Measure Names
Answers
B.
Measure Values
B.
Measure Values
Answers
C.
Number of records
C.
Number of records
Answers
D.
None of the above
D.
None of the above
Answers
Suggested answer: A

Explanation:

By using the Measure Name field, we get multiple measures on a single axis

You need to create a filled map using the City field, you drop the City field to your view. And you get the location error 'Ambigious', what does it mean, and how you will fix this issue?

Larger image

A.
The city name must be misspelled. Correct the spelling to fix the issue.
A.
The city name must be misspelled. Correct the spelling to fix the issue.
Answers
B.
More than one city has that name. Update the data type of the field to fix this issue.
B.
More than one city has that name. Update the data type of the field to fix this issue.
Answers
C.
More than one city has that name. Adjust the geographic roles to fix this issue.
C.
More than one city has that name. Adjust the geographic roles to fix this issue.
Answers
D.
Click on the Reset matches button to fix this issue.
D.
Click on the Reset matches button to fix this issue.
Answers
Suggested answer: C

Explanation:

Click on the State/Province list, and select the State. So Tableau will recognize the city as part of the states in the Country/Region United States.

Connect to the 'Global Superstore' data source and use the Orders table. Find out the percentage of total sales in all categories by customers who have purchased any product which contains the word 'Avery'?

A.
14.52%
A.
14.52%
Answers
B.
16.86%
B.
16.86%
Answers
C.
23.41%
C.
23.41%
Answers
D.
19.65%
D.
19.65%
Answers
Suggested answer: A

Explanation:

Add Product Name filter that contains the word Avery

Drop the Customer ID to the rows, so these are all customers who have purchased the product contains the word Avery.

Select all these Customers and create a group.

Now, right-click on the Customer ID (group) and click on Edit Group

Mark the Include 'Other' Checkbox.

Now, you have two members in your group. First, one of those who purchased any product contains the word Avery, and the other ones are the rest of the customers.

Remove the Product Name from filters.

Drop the Sales to the Text, and right-click on Sales and Select Quick table calculations -> Percent of total.

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