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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Publish content
|
| Topic 2: Explore and Analyze Data | 41% | - Create calculations and apply logic
|
| Topic 3: Create Content | 26% | - Build interactive dashboards
|
| Topic 4: Connect to and Transform Data | 24% | - Prepare and clean data
|
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NEW QUESTION # 153
You have the following dataset.
You plan to create a dashboard that will be filtered to show only data that is relevant to a specific Tableau user based on the Tableau_User_Name field You need to create a boolean calculated field to place on the data source finer Which formula should you use for the filter?
Answer: B
Explanation:
To create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user.
The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau.
ISFULLNAME([Tableau_user]) = USERNAME() is not a valid expression in Tableau. 'S' + STR([Sales]
/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of
"S". References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#USERNAME https://help.tableau.
com/current/pro/desktop/en-us/calculations_calculatedfields.htm
In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME], which will return true for rows where the Tableau_User_Name matches the current user's username.
NEW QUESTION # 154
A Data Analyst at a coffee company has the following visualization already built.
The analyst wants to make this more visually appealing by coloring the bars based on whether they are above or below the Average Sales within each Product Type.
Which calculation should the analyst use to calculate the Average Sales for each Product Type?
Answer: C
NEW QUESTION # 155
You company has two divisions located in the United States and Germany Bach division has a separate database. The following is a sample of the sales data for the division in the United States.
The following is a sample of the sales data for me division in Germany.
You have population data in a file named Populatio.csv. the following is a sample of the data.
You plan to create a visualization that ml show tie sales per capita for each salesperson Each salesperson must be identified by identified by their full name.
You need to prepare the data to support the planned visualization. The data source must support being published .
Which four actions should you perform in order?
(Place the four correct options n order Use the arrows to move Options to Answer Area arrows to re-order the options.
Use Answer Area arrows to re-order the options)
Answer:
Explanation:
Explanation:
1) Open Tableau prep
2) Create a new column ...
3) Union the sales ...
4) Join the sales ...
References: https://help.tableau.com/current/prep/en-us/prep_get_started.htm https://help.tableau.com/current
/prep/en-us/prep_union.htm https://help.tableau.com/current/prep/en-us/prep_clean.htm https://help.tableau.
com/current/prep/en-us/prep_join.htm
NEW QUESTION # 156
You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns
You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.)
Answer:
Explanation:
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
* Join the tables.
* Aggregate the data by Sales Team.
* Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References:
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section "Preparing Data"
[Tableau Help: Join Your Data]
[Tableau Help: Aggregate Your Data]
[Tableau Help: Filter Your Data]
NEW QUESTION # 157
You want to create the following dashboard that will contain two sheets.
What should you do?
Answer: B
NEW QUESTION # 158
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