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Tableau TCC-C01 Exam Sample Questions

Question # 1

A client has a large data set that contains more than 10 million rows. A consultant wants to calculate a profitability threshold as efficiently as possible. The calculation must classify the profits by using the following specifications: . Classify profit margins above 50% as Highly Profitable. . Classify profit margins between 0% and 50% as Profitable. . Classify profit margins below 0% as Unprofitable. Which calculation meets these requirements?

A. IF [ProfitMargin]>0.50 Then 'Highly Profitable' ELSEIF [ProfitMargin]>=0 Then 'Profitable' ELSE 'Unprofitable' END

B. IF [ProfitMargin]>=0.50 Then 'Highly Profitable' ELSEIF [ProfitMargin]>=0 Then 'Profitable' ELSE 'Unprofitable' END

C. IF [ProfitMargin]>0.50 Then 'Highly Profitable' ELSEIF [ProfitMargin]>=0 Then 'Profitable' ELSEIF [ProfitMargin] <0 Then 'Unprofitable' END

D. IF([ProfitMargin]>=0.50,'Highly Profitable', 'Profitable') ELSE 'Unprofitable' END

Answer

B. IF [ProfitMargin]>=0.50 Then 'Highly Profitable'
ELSEIF [ProfitMargin]>=0 Then 'Profitable'
ELSE 'Unprofitable'
END

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Question # 2

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?

A. Strings are fastest, followed by integers, and then Booleans.

B. Integers are fastest, followed by Booleans, and then strings.

C. Strings, integers, and Booleans all perform the same.

D. Booleans are fastest, followed by integers, and then strings.

Answer

B. Integers are fastest, followed by Booleans, and then strings.

Explanation:

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.

References:The performance hierarchy of data types in Tableau calculations is documented in resources that discuss best practices for optimizing Tableau performance1.

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Question # 3

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.

Answer

Explanation:

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:

Calculate Cumulative Sales Percentage:

(RUNNING_SUM(SUM([Sales])) / TOTAL(SUM([Sales])) [Sales]))

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Add the Cumulative Sales Percentage Line to the Chart:

Format the Cumulative Sales Percentage Line:

Save Your Changes:

References:

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.

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Question # 4

A client has a dashboard that uses a bar chart to visualize sales by Sub-Category and a detail table that has all the orders for the products within Sub- Category. The table has more than 10,000 rows of data and is slow to load. A consultant plans to add an action so when the client interacts with the bar chart, only the relevant data appears in the table. What will provide the fastest rendering of the dashboard?

A. Add a filter action, set "Run action on" to Select, and set "Clearing the selection will" to Exclude all values.

B. Add a highlight action and set Target Highlighting to Sub-Category.

C. Add a highlight action and set Target Highlighting to All Fields.

D. Add a filter action, set "Run action on" to Menu, and set "Clearing the selection will" to Show all values.

Answer

A. Add a filter action, set "Run action on" to Select, and set "Clearing the selection will" to Exclude all values.

Explanation:

To optimize the dashboard rendering, particularly when dealing with a large dataset, a filter action is the most effective tool. Here's why the specified choice is optimal:

Add a filter action: This action creates a direct filter on the detail table based on the selection in the bar chart. It ensures that only data related to the selected sub-category is loaded into the table, significantly reducing load time and improving performance.

Set "Run action on" to Select: This setting means the filter action will be triggered as soon as the user selects a bar in the bar chart. Immediate activation of the filter ensures that the dashboard is interactive and responsive.

Set "Clearing the selection will" to Exclude all values: When the selection is cleared, this setting ensures that no data is shown, which avoids loading the entire dataset unnecessarily. This maintains performance when no sub-category is actively selected.

ReferencesThis strategy follows Tableau’s performance best practices by using actions to limit the amount of data processed and rendered, as detailed in the Tableau User Guide and training materials on Dashboard Actions for optimizing large datasets.

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Question # 5

From the desktop, open the CC workbook. Open the Manufacturers worksheet. The Manufacturers worksheet is used to analyze the quantity of items contributed by each manufacturer. You need to modify the Percent Contribution calculated field to use a Level of Detail (LOD) expression that calculates the percentage contribution of each manufacturer to the total quantity. Enter the percentage for Newell to the nearest hundredth of a percent into the Newell % Contribution parameter. From the File menu in Tableau Desktop, click Save.

Answer

Explanation:

To modify the Percent Contribution calculated field to use a Level of Detail (LOD) expression and accurately calculate the percentage contribution of each manufacturer to the total quantity, follow these steps:

Open the CC Workbook and Access the Worksheet:

Modify the Percent Contribution Calculated Field:

{FIXED [Manufacturer]: SUM([Quantity])} / {SUM([Quantity])}Quantity])}

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Enter Percentage for Newell:
Save Your Changes:

References:

Tableau Help: Offers detailed guidance on using LOD expressions for precise and context-independent aggregations.
Tableau Desktop User Guide: Provides comprehensive instructions on managing calculated fields and parameters, ensuring accurate data analysis.
By following these steps, you will have successfully updated the calculation for percent contribution using LOD expressions, providing a more accurate analysis of each manufacturer's
contribution to the total quantity. Moreover, updating the parameter with Newell's specific
contribution rounds out the task by reflecting precise data inputs for reporting or further
analysis.

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