New Tableau TDA-C01 Dumps & Questions Updated on 2024
Dumps to Pass your TDA-C01 Exam with 100% Real Questions and Answers
Tableau TDA-C01 certification is a valuable credential for individuals who want to enhance their skills and knowledge in data analytics. Tableau Certified Data Analyst certification is globally recognized and provides individuals with a competitive edge in the job market. Preparing for the exam requires a combination of practical experience and theoretical knowledge, and Tableau provides various resources to help individuals prepare for the exam. Passing the TDA-C01 exam demonstrates an individual's ability to use Tableau to connect to various data sources, perform data analysis, create and share visualizations, and design dashboards.
To take the TDA-C01 exam, candidates must have basic knowledge of data analysis concepts and techniques, as well as experience using Tableau products. TDA-C01 exam consists of 36 multiple-choice questions, and candidates have 120 minutes to complete it. TDA-C01 exam covers a range of topics, including data connections, data preparation, data analysis and visualization, and dashboard creation.
Tableau TDA-C01 exam is a computer-based test that consists of multiple-choice questions. TDA-C01 exam is of moderate difficulty and is designed to test the candidate's understanding of Tableau's core concepts and features. TDA-C01 exam covers topics such as data connection, data blending, data analysis, and data visualization. TDA-C01 exam is intended for individuals who have a basic understanding of data analysis and visualization and are looking to enhance their skills in the field.
NEW QUESTION # 39
Open the link to Book1 found on the desktop. Open the Line worksheet.
Modify the chart to show only main and max values of both measures in each region.
Answer:
Explanation:
To modify the chart to show only min and max values of both measures in each region, you need to do the following steps:
Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Line worksheet.
Click on the Line tab at the bottom of the workbook to open the worksheet. You will see a line chart that shows the sales and profit for each month by region.
Drag Month from the Columns shelf to Filters shelf. This will open a dialog box that allows you to filter by different criteria.
Select Range of Dates from the dialog box. This will show you options to filter by a range of dates or values.
Select Minimum and Maximum from the drop-down list next to Month. This will filter by the minimum and maximum values of Month for each region. You can also enter specific values or use the sliders to adjust the range.
Click OK to apply the filter. You will see that the line chart now shows only min and max values of both measures in each region.
NEW QUESTION # 40
You have a dataset that contains sates dat
a. The following is a sample of the data.
You need to return a value of true if a month has sales greater than $50 000. otherwise the formula must return a value of false.
Which two formulas achieve the goal Choose two
- A. SUM{[Sales]) IN (50000)
- B. MAX< [Sales], 50000)
- C. [Sales] > 50000
- D. IIF(SUM< [Sales] )>50000, TRUE, FALSE)
Answer: C,D
Explanation:
B) IIF(SUM([Sales]) > 50000, TRUE, FALSE)
D) [Sales] > 50000
The IIF function is a logical function that returns one value if a condition is true, and another value if the condition is false. In this case, the condition is SUM([Sales]) > 50000, which means that the sum of sales for a month is greater than $50,000. The function will return TRUE if the condition is true, and FALSE if the condition is false.
The comparison operator > is a logical operator that returns TRUE if the left operand is greater than the right operand, and FALSE otherwise. In this case, the operands are [Sales] and 50000, which means that the sales for a month are greater than $50,000. The operator will return TRUE if the sales are greater than $50,000, and FALSE otherwise.
The other options are not correct for this scenario. The IN function is a logical function that returns TRUE if a value is in a set of values, and FALSE otherwise. In this case, the value is SUM([Sales]), which is not in the set of values (50000). The function will always return FALSE. The MAX function is an aggregation function that returns the maximum value in a field or expression. In this case, the field or expression is [Sales], 50000, which is not valid syntax. The function will return an error. Reference: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IIF https://help.tableau.com/current/pro/desktop/en-us/operators.htm https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#MAX Explanation:
The two formulas that will return a value of true if a month has sales greater than $50,000, otherwise the formula must return a value of false, are:
NEW QUESTION # 41
You have the following dataset.
Which Level of Detail (LOD) expression should you use to calculate tie grand total of all the regions?
- A. {FIXED: TOTAL (Sales)}
- B. {FIXED: SUM Sales}
- C. {Fixed: [Region]: TOTAL Sales}
- D. {FIXED: [Region] SUM Sales}
Answer: A
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 # 42
You have the following visualization.
Answer:
Explanation:
NEW QUESTION # 43
You have the following two datasets:
* A Microsoft Excel worksheet that has two columns named Employee Name and Department
* A Microsoft SQL Server table that has three columns named Employee Name. Pay Grade and Team Size.
You want to use Tableau Prep to join the two datasets.
Which three actions should you perform in order? (Place the three correct options in order.)
Answer:
Explanation:
Explanation:
The correct order of the three actions is:
From the connections pane, connect to both data sources
Join both datasets and select the join type
Specify Employee Name as the join key
The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.
The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.
The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.
The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References:
https://help.tableau.com/current/prep/en-us/prep_connect.htm
https://help.tableau.com/current/prep/en-us/prep_join.htm
https://help.tableau.com/current/prep/en-us/prep_join_types.htm
NEW QUESTION # 44
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?
- A. NAME Tableau-USER-NAME)
- B. USERNAME()=(Tableau_USER_NAME)
- C. ISFULLNAMETableu_USER_NAME))=USERNAME()
- D. NAMEUSERNAME()
Answer: A
NEW QUESTION # 45
You have the following dataset.
You want to create a new calculated dimension field named Category that meets the following conditions:
. When Subject is Computer Science or Science, Category must be Sciences.
. When Subject is English or Social Studies, Category must be Humanities.
Which two logical functions achieve the goal? Choose two.
- A. IF ENDSWITH ( [Subject], 'Computer Science') THEN 'Sciences' ELSE 'Humanities' END
- B. IF [Subject]- 'Science' THEN 'Sciences'
ELSEIF [Subject]='English' THEN 'Humanities'
ELSEIF [Subject]-'Social Studies' THEN 'Humanities'
ELSEIF [Subject]= 'Computer Science' THEN 'Sciences'
END - C. IIF(( CONTAINS ([Subject], 'Science') = TRUE) , 'Humanities', 'Sciences')
- D. CASE [Subject]
WHEN 'Computer Science' THEN 'Sciences'
WHEN 'Science' THEN 'Sciences'
WHEN 'English' THEN 'Humanities'
WHEN 'Social Studies' THEN 'Humanities'
End
Answer: B,D
Explanation:
To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either 'Sciences' or 'Humanities'. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign 'Humanities' to any subject that contains 'Science' in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with 'Computer Science' and ignore the other subjects. References:
Logical Functions - Tableau
Tableau Certified Data Analyst Study Guide
NEW QUESTION # 46
You have a data set that contains three columns named Sales, Profit, and Quantity.
You need to build the following scatter plot.
Answer:
Explanation:
Explanation:
To build the scatter plot shown in the image, you need to place the Profit measure on the Rows shelf and the Sales measure on the Columns shelf. This will create a Cartesian chart with Profit as the y-axis and Sales as the x-axis. Then, you need to change the mark type to Circle on the Marks card. This will display the data points as circles that vary in size according to the Quantity measure. You can also add color or shape encoding to the marks to show additional dimensions or measures in the view. References:
Build a Scatter Plot
Understanding and Using Scatter Plots
Scatter plot in Tableau
NEW QUESTION # 47
You have the following dataset
You need to create the following visualization.
Which quick table calculation should you drag to Text on the Marks card?
- A. Percent Difference
- B. Compound Growth Rate
- C. Percentile
- D. Percent of Total
Answer: D
Explanation:
we need to create a quick table calculation that shows the percent of total sales for each category and sub-category. To do this, we can follow these steps:
Drag Category to Columns and Sub-Category to Rows.
Drag Sales to Text on the Marks card.
Right-click Sales on the Marks card and select Quick Table Calculation > Percent of Total.
Right-click Sales on the Marks card again and select Compute Using > Category.
This will create a quick table calculation that shows the percent of total sales for each sub-category within each category. The visualization will look like this:
NEW QUESTION # 48
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:
1 - Open Tableau Prep
2 - Union the sales data of both divisions
3 - Create a new column to concatenate the name for the Germany division
4 - Join the sales data and the population data by using Country as the join field
NEW QUESTION # 49
You create the following worksheet
The Pick Measure parameter contains the following list of values
Users can select a value from Pick Measure to change the visualization to show either the Sales measure or the Profit measure.
Which formula is used in the Selected Measure calculated field lo switch between measures?
- A. Case AVG([Pick Measure])
WHEN [Sales] then 1
WHEN [Profit] then 2
END - B. Case [Pick Measure:
WHEN [Sales] then 1
WHEN [Profit] then 2 END - C. Case [Pick Measure]
WHEN 1 then ([Sales])
WHEN 2 then ([Profit])
END - D. Case STFMEPick Measure])
WHEN "Sales" then ([Sales])
WHEN "Profit" then ([Profit]) e::i
Answer: C
Explanation:
https://help.tableau.com/current/pro/desktop/en-us/parameters_swap.htm
This formula uses a parameter (Pick Measure) to switch between the Sales and Profit measures. When the user selects '1', it shows Sales, and when '2' is selected, it shows Profit. This dynamic switching is enabled by the Case function.
NEW QUESTION # 50
You have the following tiled dashboard that has one sheet.
You want to replace fit sheet with Sheet2.
What should you do?
- A. Right-click Sheet2 and select Add to Dashboard.
- B. From the context menu of Sheet3. select Deselect
- C. From the context menu of Sheet3. select Remove Dashboard item
- D. Drag Sheet2 to the dashboard.
- E. Select Sheets and click the Swap Sheet button next to Sheet2.
Answer: E
Explanation:
To replace a sheet on a tiled dashboard, you can simply drag the new sheet from the Sheets pane to the dashboard and drop it over the existing sheet. This will replace the old sheet with the new one and keep the same size and position. Alternatively, you can right-click on the old sheet and select Replace Data Source, then choose the new sheet from the list. Reference: https://help.tableau.com/current/pro/desktop/en-us/dashboards_organize_floating_layoutcontainers.htm https://help.tableau.com/current/pro/desktop/en-us/dashboards_replace_datasource.htm
NEW QUESTION # 51
You have the following visualization.
You Create a table calculation named Rank_Score that has a formula of RANK(AVG([Score]), and you drag Rank_Score to Text on the Marks cards.
What is the Rank Score value for Student ID 4220?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
the rank function returns the rank of each row within the partition of a result set. The rank of a row is one plus the number of ranks that come before the row in question.
To answer your question, we need to apply the rank function to the Avg Score column and sort it in descending order. Then we can find the rank score value for Student ID 4220 by looking at the corresponding row.
Here is how the table would look like after applying the rank function and sorting:
As you can see, the rank score value for Student ID 4220 is 1.
NEW QUESTION # 52
You have the following map.
You need the map to appear as shown in the following visualization.
What should you do?
- A. Change the mark type to Density
- B. Drag Location to Size on the Marks card
- C. Change the mark type to Map
- D. Drag Population to Size on the Marks card
- E. Change the opacity to 75%
Answer: A
Explanation:
The question presents a scenario where a geographic map visualization in Tableau needs to be transformed from a series of discrete circles representing data points to a density map visualization. The density map shows concentrations of data points with a gradient of color, where denser areas are indicated by a darker color.
Here's the explanation for each option:
A). Change the mark type to Density: This is the correct answer because changing the mark type to 'Density' in Tableau creates a density map, which displays the concentration of data points with a color gradient. This is exactly what is needed to achieve the visual effect shown in the second image, where regions with a higher concentration of data points are represented by darker shades.
B). Drag Location to Size on the Marks card: This option would adjust the size of the marks based on the number of locations, which is not relevant to creating a density map. It would result in varying sizes of circles, not a continuous gradient.
C). Change the mark type to Map: The visualization is already using a map. This option would not change the visualization to the desired density map.
D). Drag Population to Size on the Marks card: This would change the size of the circles based on the population values, making some circles larger and others smaller. This is not how a density map is created, which uses color intensity rather than size to show concentration.
E). Change the opacity to 75%: Changing the opacity would affect the transparency of the marks on the map but would not transform the visualization into a density map.
To achieve the visualization shown in the second image, the mark type must be changed to 'Density,' which will produce a heat map-like effect where the color intensity represents the concentration of data points.
Therefore, the correct answer is A. Change the mark type to Density.
To create a density map from a scatter plot of data points, you would change the mark type to Density. This mark type allows you to visualize the concentration of data points in an area, which can be useful for identifying clusters or patterns in geospatial data.
NEW QUESTION # 53
Open the link to Book1 found on the desktop. Open the Histogram worksheet and use the Superstone data source.
Create a histogram on the Quantity field by using bin size of 3.
- A. check the steps below in explanation
Answer: A
Explanation:
To create a histogram on the Quantity field by using bin size of 3, you need to do the following steps:
Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
Click on the Histogram tab at the bottom of the workbook to open the Histogram worksheet. You will see a blank worksheet with no marks.
Right-click on Quantity in the Measures pane and select Create Bins from the menu. This will open a dialog box that allows you to create bins for the Quantity field. Bins are groups of values that are treated as one unit in a histogram.
Enter 3 in the Size of bins text box. This will set the bin size to 3, which means that each bin will contain values that are 3 units apart. For example, one bin will contain values from 0 to 2, another bin will contain values from 3 to 5, and so on.
Click OK to create the bins. You will see a new field named Quantity (bin) in the Measures pane with a # sign next to it.
Drag Quantity (bin) from the Measures pane to Columns on the worksheet. This will create a histogram that shows the distribution of Quantity by bins. You will see bars that represent the frequency or count of values in each bin.
Optionally, you can adjust the width, color, and labels of the bars by using the options on the Marks card. You can also add filters, tooltips, or annotations to enhance your histogram.
NEW QUESTION # 54
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