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TCC-C01 Short Quiz
5 Real Exam Questions - One at a Time - Instant or End-of-quiz Scoring.
A multi-national company wants to have a Tableau dashboard that will provide country-level information for both its forecast summaries and year-on-year
metrics. The company wants to toggle between these two views while leaving main key performance indicators (KPIs) visible on the main dashboard.
Which method is the most efficient in achieving the company's requirements?
The most efficient method for toggling between two views (forecast summaries and year-on-year metrics) while keeping main KPIs visible involves using a parameter and calculated fields for controlling visibility:
Create a Boolean Parameter: This parameter will have two aliases representing the two views ('Forecast View' and 'Year-on-Year View'). This allows the user to select which view they wish to see directly from the dashboard.
Calculated Field: Create a calculated field that always returns True. This field acts as a constant placeholder to enable the visibility control tied to the parameter.
Dashboard Setup: Place both the forecast summary and the year-on-year metrics sheets on the dashboard. Set the year-on-year metrics sheet as a floating object over the forecast summary.
Visibility Control: Use the 'Control visibility using value' option in the Layout tab for the floating year-on-year metrics view. Tie this setting to the Boolean parameter so that changing the parameter will show or hide this view without affecting the main KPIs displayed on the dashboard.
Interactivity: Implement a 'Change Parameter' dashboard action where selecting different options in the dashboard (e.g., clicking on certain parts) triggers the parameter to change, thus toggling the visible view.
Reference This method leverages Tableau's dashboard interactivity features including parameters, calculated fields, and visibility settings, as recommended in Tableau's user guide on dynamic dashboard design.
From the desktop, open the CC workbook.
Open the Incremental worksheet.
You need to add a line to the chart that
shows the cumulative percentage of sales
contributed by each product to the
incremental sales.
From the File menu in Tableau Desktop, click
Save.
To add a line showing the cumulative percentage of sales contributed by each product to the incremental sales in the Incremental worksheet of your Tableau Desktop, follow these detailed steps:
Open the CC Workbook and Access the Worksheet:
From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
Navigate to the Incremental worksheet by clicking on its tab at the bottom of the window.
Calculate Cumulative Sales Percentage:
Create a new calculated field to compute the cumulative percentage of sales. Right-click in the Data pane and select 'Create Calculated Field'.
Name this field 'Cumulative Sales Percentage'.
Enter the following formula to calculate the running sum of sales as a percentage of the total sales:
(RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) [Sales]))
Click 'OK' to save the calculated field.
Add the Cumulative Sales Percentage Line to the Chart:
Drag the 'Cumulative Sales Percentage' field to the Rows shelf, placing it next to the existing Sales measure.
Ensure that the cumulative line appears as a continuous line. Right-click on the 'Cumulative Sales Percentage' field on the Rows shelf, select 'Change Chart Type', and choose 'Line'.
Adjust the axis to synchronize or dual-axis if necessary. Right-click on the axis of the 'Cumulative Sales Percentage' and select 'Synchronize Axis' if it's on a dual-axis setup.
Format the Cumulative Sales Percentage Line:
Click on the 'Cumulative Sales Percentage' line in the visualization.
Navigate to the 'Format' pane to adjust the line style, thickness, and color to make it distinct from other data in the chart.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
Tableau Help: Provides additional details on creating calculated fields and customizing line charts.
Tableau User Guide: Offers extensive instructions on formatting charts, including line types and axis synchronization.
By following these steps, you will successfully add a cumulative sales percentage line to your chart, enhancing the visualization to reflect the incremental contribution of each product to the overall sales in a dynamic and informative manner.
An executive-level workbook leverages 37 of the 103 fields included in a data source. Performance for the workbook is noticeably slower than other workbooks
on the same Tableau Server.
What should the consultant do to improve performance of this workbook while following best practice?
To improve the performance of a Tableau workbook, it is best practice to streamline the data being used. This can be achieved by using filters to limit the data to only what is necessary for analysis, hiding fields that are not being used to reduce the complexity of the data model, and aggregating values to simplify the data and reduce the number of rows that need to be processed. These steps can help reduce the load on the server and improve the speed of the workbook.
A client wants to flag orders that have sales higher than the regional average.
Which calculated field will produce the required result?
To flag orders with sales higher than the regional average, the correct calculated field would compare the sum of sales for each order against the average sales of all orders within the same region:
Correct Formula: { FIXED [Order ID] : SUM([Sales]) } > { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) }
This calculation uses a Level of Detail (LOD) expression:
The left part of the formula { FIXED [Order ID] : SUM([Sales]) } calculates the total sales for each individual order.
The right part { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) } calculates the average sales per order within each region.
The > operator is used to compare these two values to determine if the sales for each order exceed the regional average.
Reference This formula utilizes Tableau's LOD expressions to perform complex comparisons across different dimensions of the data, as explained in Tableau's official training materials on LOD calculations.
A client notices that while creating calculated fields, occasionally the new fields are created as strings, integers, or Booleans. The client asks a consultant if
there is a performance difference among these three data types.
What should the consultant tell the customer?
In Tableau, the performance of calculated fields can vary based on the data type used. Calculations involving integers and Booleans are generally faster than those involving strings. This is because numerical operations are typically more efficient for a computer to process than string operations, which can be more complex and time-consuming. Therefore, when performance is a consideration, it is advisable to use integers or Booleans over strings whenever possible.
TCC-C01 free sample questions and answers
Tableau TCC-C01 practice quiz with correct answers for search indexing.
-
Question 1
A multi-national company wants to have a Tableau dashboard that will provide country-level information for both its forecast summaries and year-on-year
metrics. The company wants to toggle between these two views while leaving main key performance indicators (KPIs) visible on the main dashboard.
Which method is the most efficient in achieving the company's requirements?
Correct answer: D
The most efficient method for toggling between two views (forecast summaries and year-on-year metrics) while keeping main KPIs visible involves using a parameter and calculated fields for controlling visibility:
Create a Boolean Parameter: This parameter will have two aliases representing the two views ('Forecast View' and 'Year-on-Year View'). This allows the user to select which view they wish to see directly from the dashboard.
Calculated Field: Create a calculated field that always returns True. This field acts as a constant placeholder to enable the visibility control tied to the parameter.
Dashboard Setup: Place both the forecast summary and the year-on-year metrics sheets on the dashboard. Set the year-on-year metrics sheet as a floating object over the forecast summary.
Visibility Control: Use the 'Control visibility using value' option in the Layout tab for the floating year-on-year metrics view. Tie this setting to the Boolean parameter so that changing the parameter will show or hide this view without affecting the main KPIs displayed on the dashboard.
Interactivity: Implement a 'Change Parameter' dashboard action where selecting different options in the dashboard (e.g., clicking on certain parts) triggers the parameter to change, thus toggling the visible view.
Reference This method leverages Tableau's dashboard interactivity features including parameters, calculated fields, and visibility settings, as recommended in Tableau's user guide on dynamic dashboard design.
-
Question 2
From the desktop, open the CC workbook.
Open the Incremental worksheet.
You need to add a line to the chart that
shows the cumulative percentage of sales
contributed by each product to the
incremental sales.
From the File menu in Tableau Desktop, click
Save.
Correct answer: A
To add a line showing the cumulative percentage of sales contributed by each product to the incremental sales in the Incremental worksheet of your Tableau Desktop, follow these detailed steps:
Open the CC Workbook and Access the Worksheet:
From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
Navigate to the Incremental worksheet by clicking on its tab at the bottom of the window.
Calculate Cumulative Sales Percentage:
Create a new calculated field to compute the cumulative percentage of sales. Right-click in the Data pane and select 'Create Calculated Field'.
Name this field 'Cumulative Sales Percentage'.
Enter the following formula to calculate the running sum of sales as a percentage of the total sales:
(RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) [Sales]))
Click 'OK' to save the calculated field.
Add the Cumulative Sales Percentage Line to the Chart:
Drag the 'Cumulative Sales Percentage' field to the Rows shelf, placing it next to the existing Sales measure.
Ensure that the cumulative line appears as a continuous line. Right-click on the 'Cumulative Sales Percentage' field on the Rows shelf, select 'Change Chart Type', and choose 'Line'.
Adjust the axis to synchronize or dual-axis if necessary. Right-click on the axis of the 'Cumulative Sales Percentage' and select 'Synchronize Axis' if it's on a dual-axis setup.
Format the Cumulative Sales Percentage Line:
Click on the 'Cumulative Sales Percentage' line in the visualization.
Navigate to the 'Format' pane to adjust the line style, thickness, and color to make it distinct from other data in the chart.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
Tableau Help: Provides additional details on creating calculated fields and customizing line charts.
Tableau User Guide: Offers extensive instructions on formatting charts, including line types and axis synchronization.
By following these steps, you will successfully add a cumulative sales percentage line to your chart, enhancing the visualization to reflect the incremental contribution of each product to the overall sales in a dynamic and informative manner.
-
Question 3
An executive-level workbook leverages 37 of the 103 fields included in a data source. Performance for the workbook is noticeably slower than other workbooks
on the same Tableau Server.
What should the consultant do to improve performance of this workbook while following best practice?
Correct answer: C
To improve the performance of a Tableau workbook, it is best practice to streamline the data being used. This can be achieved by using filters to limit the data to only what is necessary for analysis, hiding fields that are not being used to reduce the complexity of the data model, and aggregating values to simplify the data and reduce the number of rows that need to be processed. These steps can help reduce the load on the server and improve the speed of the workbook.
-
Question 4
A client wants to flag orders that have sales higher than the regional average.
Which calculated field will produce the required result?
Correct answer: C
To flag orders with sales higher than the regional average, the correct calculated field would compare the sum of sales for each order against the average sales of all orders within the same region:
Correct Formula: { FIXED [Order ID] : SUM([Sales]) } > { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) }
This calculation uses a Level of Detail (LOD) expression:
The left part of the formula { FIXED [Order ID] : SUM([Sales]) } calculates the total sales for each individual order.
The right part { FIXED [Region] : AVG({ FIXED [Order ID] : SUM([Sales]) }) } calculates the average sales per order within each region.
The > operator is used to compare these two values to determine if the sales for each order exceed the regional average.
Reference This formula utilizes Tableau's LOD expressions to perform complex comparisons across different dimensions of the data, as explained in Tableau's official training materials on LOD calculations.
-
Question 5
A client notices that while creating calculated fields, occasionally the new fields are created as strings, integers, or Booleans. The client asks a consultant if
there is a performance difference among these three data types.
What should the consultant tell the customer?
Correct answer: B
In Tableau, the performance of calculated fields can vary based on the data type used. Calculations involving integers and Booleans are generally faster than those involving strings. This is because numerical operations are typically more efficient for a computer to process than string operations, which can be more complex and time-consuming. Therefore, when performance is a consideration, it is advisable to use integers or Booleans over strings whenever possible.
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