Free PDF Quiz Perfect TDA-C01 - Tableau Certified Data Analyst Certificate Exam
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Tableau TDA-C01 (Tableau Certified Data Analyst) Certification Exam is a highly recognized certification program that has been designed for professionals who want to validate their skills in data analysis and visualization using the Tableau platform. Tableau Certified Data Analyst certification exam is conducted by Tableau, a leading data visualization and business intelligence software company that offers a range of powerful tools for data analysis and visualization.
Tableau TDA-C01 Exam is an essential certification for data professionals who use Tableau. It is a comprehensive exam that evaluates a candidate's ability to work with data and create visualizations using Tableau Desktop, Tableau Prep, and Tableau Server. Tableau Certified Data Analyst certification can help professionals advance their careers and increase their earning potential.
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Tableau Certified Data Analyst Sample Questions (Q64-Q69):
NEW QUESTION # 64
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: D
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". Reference: 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
NEW QUESTION # 65
You have the following box plot that shows the distribution of average profits made in every state by region.
Which region has the smallest distribution of profits?
Answer: D
NEW QUESTION # 66
You have the following dataset.
Which Level of Detail (LOD) expression should you use to calculate tie grand total of all the regions?
Answer: B
Explanation:
To calculate the grand total of all the regions, you need to use a Level of Detail (LOD) expression that ignores any dimensions in the view and returns the total sum of sales. The FIXED keyword allows you to specify the level of detail for the calculation, and the TOTAL function returns the sum of all values in the expression. Therefore, the correct LOD expression is {FIXED: TOTAL (Sales)}. Reference: https://help.tableau.com/current/pro/desktop/en-us/calculations_calculatedfields_lod.htm https://help.tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#TOTAL
NEW QUESTION # 67
You have a dataset that contains people and the awards they have won.
Which formula should you use to get the number of different types of awards that have been won?
Answer: E
Explanation:
To get the number of different types of awards that have been won, you should use the formula COUNTD({Award}). This formula will return the count of distinct values in the Award field, which are the different types of awards that have been won.
The other options are not correct for this scenario. COVAR({Award}) is not a valid function in Tableau.
MAX({Award}) will return the maximum value in the Award field, which may not be a type of award.
INDEX() will return the index or rank of each row in a partition, which is not related to the types of awards.
References: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#COUNTD
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#INDEX The COUNTD function in Tableau calculates the number of distinct (unique) items in a field. When looking to get the number of different types of awards that have been won, the COUNTD([Award]) function will count each unique award name only once, regardless of how many times it appears in the dataset. This will return the total number of unique award types.
NEW QUESTION # 68
You have the following chart that shows profits and discounts over time.
You need to combine the lines to appear as shown in the following chart.
What should you do?
Answer: D
Explanation:
To combine the lines to appear as shown in the second chart, you should set Discount to Dual Axis. Dual Axis is a feature that allows you to show two measures on two separate axes on one chart. You can create a dual axis by right-clicking on a measure on any shelf and selecting Dual Axis from the menu. This will create two axes on one chart and synchronize their scales.
In this case, you want to show Profit and Discount on two separate axes on one chart. You can right-click on Discount on any shelf and select Dual Axis from the menu. This will create a dual axis chart that shows Profit and Discount as two lines with different colors.
The other options are not correct for this scenario. Dragging Discount to Color on the Marks card will change the color of Profit based on Discount, but it will not show two lines. Converting Discount to Discrete will change Discount from a green pill to a blue pill, but it will not affect how it appears on the chart. Dragging Discount to Columns shelf will create two separate charts for Profit and Discount, but it will not combine them. References: https://help.tableau.com/current/pro/desktop/en-us/multiplemeasures.htm
https://help.tableau.com/current/pro/desktop/en-us/multiplemeasures_dualaxes.htm
NEW QUESTION # 69
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