TCC-C01 Practice Exam Questions with Answers Tableau Certified Consultant Certification

To visualize the path students take as they change majors across different grade levels, a Sankey Diagram is highly effective. This type of visualization illustrates the flow and quantity between different stages or categories:

• Sankey Diagram: It allows for a visual representation of students' movements between majors over time. Each flow's thickness is proportional to the number of students moving from one major to another, giving a clear, immediate visual cue of major popularity and student migration patterns.
• To create a Sankey Diagram in Tableau, you typically need to prepare the data specifically for this type of chart. The data must include source (starting major), target (ending major), and the value (number of students). It often requires custom calculations and data reshaping to get the data in a format that a Sankey can use.
• Once the data is prepared, you can use a combination of calculated fields, path binning, and line charts to simulate the flow effect in Tableau. External plugins or web-based integrations might also be employed for more direct implementations.

ReferencesSankey Diagrams are not natively supported in Tableau but can be implemented through creative use of data preparation and calculations, as suggested in advanced Tableau user communities and demonstrated in various Tableau public galleries.

The most user-friendly solution is to use Dynamic Zone Visibility in combination with a Show/Hide Button. This approach allows the dashboard to dynamically display only the relevant quick filters based on the viewer’s selection of shops or warehouses, thus reducing clutter and focusing the user’s attention on applicable filters.The Show/Hide Button further enhances the userexperience by allowing viewers to toggle the visibility of the filter container, providing a clean and organized dashboard interface1.

References:Dynamic Zone Visibility is a feature in Tableau that enables dashboard elements to appear or disappear based on the value of a field or parameter1.This functionality is ideal for creating interactive and user-friendly dashboards that adapt to user interactions and selections1.

To improve the loading time of the pipeline dashboard, which primarily suffers from long query execution times due to a comprehensive Relative Date filter:

• Relative Date Filter Issue: The existing Relative Date filter on "Created Date" covers a broad range (5 years), leading to significant data processing overhead as it includes granular date calculations over a large dataset.
• Optimized Approach: By replacing the Relative Date filter with a Multiple Values (Dropdown) filter based on YEAR([Created Date]), the filter granularity is reduced. Filtering by year simplifies the query by limiting the volume of data processed and reducing the complexity of the filter condition.
• Implementation Benefit: This approach still provides the flexibility to view data across different years but does so by reducing the load on the database during query execution, which is critical for improving the performance of the dashboard.

ReferencesThis recommendation aligns with Tableau performance optimization strategies, specifically regarding the management of date filters to minimize their impact on query load, as discussed in Tableau performance tuning sessions and guides.

For implementing row-level security (RLS) without the Tableau Data Management Add-on, the best approach is to integrate user filters into the published data source:

• Creating User Filters on Published Data Source: This method involves defining user filters that apply directly to the data source before it is published to the Tableau Server. This ensures that any workbook or view leveraging this data source inherently respects the row-level security settings.
• To implement this, create a calculated field in Tableau that defines the security logic, typically using a formula that references user functions (likeUSERNAME()orISMEMBEROF()). Drag this field to the Filters shelf and configure it to match the security rules (who can see what data).
• Once configured, publish the data source to Tableau Server with these filters in place. This approach centralizes security management, making it easier to maintain and update security policies as they are applied universally to all workbooks using this data source.

This strategy is safe as it reduces the risk of accidental data exposure through individual workbook misconfiguration and simplifies long-term maintenance of security policies.

ReferencesThis method follows Tableau’s best practices for implementing row-level security as detailed in Tableau’s security management resources. It ensures robust, maintainable security measures that scale with organizational needs without requiring additional add-ons.

To shape the data in the "US Population Estimates" data source and enter the total number of records into the "Total Records" parameter in Tableau Desktop, follow these steps:

• Open the CC Workbook and Access the Worksheet:
• Format and Shape the Data:
• Calculate Total Number of Records:
• Enter the Value into the Total Records Parameter:
• Save Your Changes:

References:

• Tableau Desktop Guide: Provides detailed instructions on managing data types, creating calculated fields, and updating parameters.
• Tableau Data Shaping Techniques: Outlines effective methods for manipulating and structuring data for analysis.

This process will ensure the data in the "US Population Estimates" is accurately shaped according to the specified format and that the total number of records is correctly calculated and entered into the designated parameter. This thorough approach ensures data integrity and accuracy in reporting.

To record the performance of the Property Transactions dashboard in the NYC Property Transactions.twbx workbook and analyze it using a bar chart, follow these detailed steps:

• Open the NYC Property Transactions Workbook:
• Start Performance Recording:
• Open the Property Transactions Dashboard and Reset Filters:
• Stop the Performance Recording:
• Save the Performance Recording:
• Create a New Worksheet for Performance Analysis:
• Customize and Finalize the Bar Chart:
• Save Your Work:

References:

• Tableau Help Documentation: Provides guidance on how to start and stop performance recordings and analyze them.
• Tableau Visualization Techniques: Offers tips on creating effective bar charts for performance data.

By following these steps, you have successfully recorded and analyzed the performance of the Property Transactions dashboard, providing valuable insights into how each component of the dashboard contributes to the overall load time. This analysis is crucial for optimizing dashboard performance and ensuring efficient data visualization.

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.

To compute the required calculations and update the worksheet in Tableau Desktop, follow these steps:

• Compute Average Sales by Segment for Each Category and Year:
• Create a Calculation for Year-over-Year Percentage Change:

(ZN(SUM([Sales])) - LOOKUP(ZN(SUM([Sales])), -1)) / ABS(LOOKUP(ZN(SUM([Sales])), -1))

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• Replace the Original Measure with the Year-over-Year Percentage Change in the Crosstab:
• Save Your Changes:

References:

• Tableau Help: Offers guidance on creating calculated fields and using table calculations.
• Tableau Desktop User Guide: Provides instructions on formatting and saving worksheets.

These steps allow you to manipulate data within Tableau effectively, using table calculations to analyze trends and changes in sales data by category and segment over years.

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.

To complete the Pareto chart in the "City Pareto" worksheet of your Tableau Desktop and add reference lines to illustrate how the data compares to the Pareto principle, follow these steps:

• Open the CC Workbook and Access the Worksheet:
• Construct the Pareto Chart:
• Add Reference Lines for the Pareto Principle:
• Adjust the Appearance of the Chart:
• Save Your Changes:

References:

• Tableau Help: Offers detailed guidance on creating Pareto charts and adding reference lines.
• Tableau Visualization Best Practices: Provides tips on effectively displaying cumulative data and principles such as Pareto.

By following these steps, you will have successfully enhanced the City Pareto worksheet to include a complete Pareto chart with reference lines that illustrate how the sales data compares to the Pareto principle, making it easier to analyze and communicate the distribution of sales across cities.

The Workbook Optimizer is a tool specifically designed to evaluate a workbook against performance best practices. It provides feedback on key design characteristics and offers concrete guidance on how to improve workbook performance.This tool is beneficial for both new and experienced Tableau users to ensure their dashboards are optimized for performance1.

References:The Workbook Optimizer’s functionality is detailed in Tableau’s official documentation, which explains how it assesses workbooks against a set of rules derived from best practices1.Additionally, the Performance Recording feature in Tableau Desktop and Server can be used to identify performance issues, but the Workbook Optimizer gives a more comprehensive analysis of the workbook’s adherence to best practices23.