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Tableau Certified Data Analyst TDA-C01 Prüfungsfragen mit Lösungen (Q45-Q50):

45. Frage
You have the following dataset that contain null values in the Profits field.

You want the data to appear as shown in the following table.

Which two formulas achieve the goal? Choose two.

A. IFNULL([Profits],0) D. IF [Profits] != null then [Profits] END
B. 2N ([Profits])
C. ISNULL ([Profits])
D. IFNULL [(profits] ,0)
E. IF [Profits] != null then [Profits] END

Antwort: B,D

Begründung:
The IFNULL function is a logical function that returns the first argument if it is not null, and the second argument if it is null. In this case, the first argument is [Profits], which is the field that contains null values. The second argument is 0, which is the value that you want to replace null values with. The function will return [Profits] if it is not null, and 0 if it is null.
The IF statement is a logical statement that returns a value or performs an action if a condition is true, and optionally returns another value or performs another action if the condition is false. In this case, the condition is [Profits] != null, which means that [Profits] is not null. The statement will return [Profits] if the condition is true, and nothing if the condition is false. The END keyword marks the end of the statement.
The other options are not correct for this scenario. The ZN function is a logical function that returns zero if a value or expression is null, and returns the value or expression itself if it is not null. However, it only works with numeric values or expressions, and [Profits] may not be numeric in this case. The ISNULL function is a logical function that returns TRUE if a value or expression is null, and FALSE otherwise. It does not replace null values with another value. Reference: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IFNULL https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IF https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#ZN https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#ISNULL Explanation:
The two formulas that will make the data appear as shown in the second table are:

46. Frage
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?

A. Drag Discount to Color on the Marks card
B. Set Discount to Dual Axis
C. Drag Discount to the Columns shelf
D. Convert Discount to Discrete

Antwort: B

Begründung:
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

47. Frage
You have the following chart that shows the cumulative of sales from various dates.

You want the months to appear as shown in the following chart.

What should you do?

A. Convert the date to Attribute
B. Convert the date to Continuous
C. Convert the date to Exact Date
D. Select Show Misting Values for the dale

Antwort: B

Begründung:
To make the months appear as shown in the second chart, you need to convert the date to Continuous. A continuous date is a green pill that shows a range of values on an axis. A discrete date is a blue pill that shows individual values as headers. In this case, you want to show a continuous range of months on the x-axis, instead of discrete headers.
To convert the date to Continuous, you need to do the following steps:
Right-click on the date field on the Columns shelf and select Convert to Continuous from the menu. This will change the date pill from blue to green and show a continuous range of dates on the x-axis.
Right-click on the date field again and select Month (January 2017) from the menu. This will change the level of detail of the date to month and year, instead of day.
Optionally, you can format the date axis by right-clicking on it and selecting Format from the menu. You can change the scale, tick marks, labels, and other options.
The other options are not correct for this scenario. Converting the date to Exact Date will show every single date as a header, which will be too crowded and unreadable. Selecting Show Missing Values for the date will fill in any gaps in the data with null values, but it will not change how the months appear. Converting the date to Attribute will return only one value for each partition of data, which will not show any variation over time. Reference: https://help.tableau.com/current/pro/desktop/en-us/dates.htm https://help.tableau.com/current/pro/desktop/en-us/dates_continuous.htm https://help.tableau.com/current/pro/desktop/en-us/formatting.htm

48. Frage
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)

Antwort:

Begründung:

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

49. Frage
You have the following calculated fields in a worksheet.
[Calc1] = DATEADD ('year', -1, TODAY ())
[Calc2] = DATETRUNC ( 'month' , DATEADD ('year', -1, TODAY ())
You want to calculate the month to date value of the prior year.
How should you complete the formula? (Drag the appropriate Options to the Answer Area and drop into the correct locations.)

Antwort:

Begründung:

Explanation:
A screenshot of a computer Description automatically generated

To calculate the month to date value of the prior year, you need to filter the order date to be between the first day of the same month of the previous year and the same day of the previous year. You can use the calculated fields [Calc1] and [Calc2] to get these dates. [Calc1] returns the date that is one year before today, and [Calc2] returns the date that is the first day of the month of [Calc1]. By using these fields in the filter condition, you can get the desired result.
References:
Finding the Month-to-Date Values for the Prior Year
[DATEADD Function]
[DATETRUNC Function]

50. Frage
......

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