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Tableau Certified Consultant Sample Questions (Q55-Q60): NEW QUESTION # 55 From the desktop, open the CC workbook. Open the City Pareto worksheet. You need to complete the Pareto chart toshow the percentage of sales compared tothe percentage of cities. The chart mustshow references lines to visualize how thedata compares to the Pareto principle. From the File menu in Tableau Desktop, clickSave.

Answer:

Explanation: See the complete Steps below in Explanation: Explanation: 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:
  • From the desktop, double-click on the CC workbook to open it in Tableau Desktop.
  • Navigate to the City Pareto worksheet by selecting its tab at the bottom of the window.
  • Construct the Pareto Chart:
  • Ensure that sales data is aggregated by city. If not, drag the 'City' dimension to the Columns shelf and the 'Sales' measure to the Rows shelf.
  • Sort the sales data in descending order to properly align the cities according to their sales contribution.
  • To create a running total of sales, right-click on the 'Sales' measure on the Rows shelf, select 'Quick Table Calculation', and choose 'Running Total'.
  • Drag the 'Number of Records' field to the Rows shelf next to the Sales running total. Right-click on it, select 'Quick Table Calculation', and choose 'Running Total'. Set its calculation to 'Percent of Total' from the 'Edit Table Calculation' option to represent the percentage of cities.
  • Add Reference Lines for the Pareto Principle:
  • Click on the Analytics tab in the sidebar.
  • Drag a 'Reference Line' element and drop it onto the chart area.
  • Set the Reference Line for the Sales axis at 80% to represent the typical Pareto cutoff where 80% of effects come from 20% of causes.
  • Add another Reference Line on the axis representing the percentage of cities, set at 20%, to visually assess the Pareto principle.
  • Adjust the Appearance of the Chart:
  • Format the reference lines by right-clicking on them, selecting 'Edit', and choosing a distinct style or color to make them stand out.
  • Ensure the chart is clear and labels are appropriately adjusted for easy understanding of the data visualization.
  • Save Your Changes:
  • From the File menu, click 'Save' to ensure all your changes are stored. 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.

NEW QUESTION # 56 For a new report, a consultant needs to build a data model with three different tables, including two that contain hierarchies of locations and products. The third table contains detailed warehousing data from all locations across six countries. The consultant uses Tableau Cloud and the size of the third table excludes using an extract. What is the most performant approach to model the data for a live connection?

A. Joining the tables in Tableau Desktop B. Blending the first two tables with the third C. Joining the tables in Tableau Prep D. Relating the tables in Tableau Desktop Answer: D

Explanation: For a performant live connection in Tableau Cloud, especially when dealing with large datasets that preclude the use of extracts, relating the tables in Tableau Desktop is the recommended approach. This method allows for flexibility in how the data is queried and can improve performance by leveraging Tableau's relationships feature, which optimizes queries for the underlying database. References:The best practices for live connections in Tableau Cloud suggest using relationships to manage complex data models efficiently1.Additionally, Tableau's documentation on connecting data sources recommends using relationships for better performance with live connections2.

NEW QUESTION # 57 A client currently has a workbook with the table shown below.

Which method will produce the output for the Total Sales Value field for all the categories shown in the table?

A. A Window Function B. Quick Table Calculation C. Level of Detail (LOD) Calculation D. MAX() Function Answer: C

Explanation: To calculate the Total Sales Value for all categories as displayed in the table, an LOD expression is ideal. An LOD calculation in Tableau allows you to compute values at the data level that is different from the view level. In this case, since the Total Sales Value appears consistent across different sub-categories within each category, an LOD expression can be used to fix the Total Sales Value irrespective of the sub-category detail. Here's how to set it up:

  • Go to the Calculations area by right-clicking in the data pane and selecting "Create Calculated Field".
  • Enter a name for the calculation, such as "Total Sales Value".
  • Enter the LOD expression:{ FIXED [Category] : SUM([Sales]) }. This calculation fixes the total sales to the category level, effectively summing sales for all sub-categories within each category, irrespective of how the data is broken down in the view.
  • Drag this new calculated field into your visualization alongside the existing measures. This method ensures that the Total Sales Value reflects the total for each category across all its sub-categories, matching the uniform values shown across different rows for each category in your table. ReferencesThe explanation utilizes the concept of Level of Detail calculations in Tableau, which allows for advanced aggregations independent of the view level details. This concept is covered extensively in Tableau's official documentation and relevant training materials such as Tableau's online help resources.

NEW QUESTION # 58 A consultant builds a report where profit margin is calculated as SUM([Profit]) / SUM([Sales]). Three groups of users are organized on Tableau Server with the following levels of data access that they can be granted. . Group 1: Viewers who cannot see any information on profitability . Group 2: Viewers who can see profit and profit margin . Group 3: Viewers who can see profit margin but not the value of profit Which approach should the consultant use to provide the required level of access?

A. Specify with user filters in each view individuals who can see profit, profit margin, or none of these. B. Specify in the row-level security (RLS) entitlement table individuals who can see profit, profit margin, or none of these. Then, use the table data to create user filters in the report. C. Use user filters to allow only Groups 2 and 3 access to data on profitability. Then, create a calculated field that limits visibility of profit value to Group 2 and use the calculation in the view in the report. D. Use user filters to access data on profitability to all groups. Then, create a calculated field that allows visibility of profit value to Group 2 and use the calculation in the view in the report. Answer: C

Explanation: The approach of using user filters to control access to data on profitability for Groups 2 and 3, combined with a calculated field that restricts the visibility of profit value to only Group 2, aligns with Tableau's best practices for managing content permissions. This method ensures that each group sees only the data they are permitted to view, with Group 1 not seeing any profitability information, Group 2 seeing both profit and profit margin, and Group 3 seeing only the profit margin without the actual profit values.This setup can be achieved through Tableau Server's permission capabilities, which allow for detailed control over what each user or group can see and interact with12. References:The solution is based on the capabilities and permission rules that are part of Tableau Server's security model, as detailed in the official Tableau documentation12. These resources provide guidance on how to set up user filters and calculated fields to manage data access levels effectively.

NEW QUESTION # 59 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. Booleans are fastest, followed by integers, and then strings. C. Strings, integers, and Booleans all perform the same. D. Integers are fastest, followed by Booleans, and then strings. Answer: D

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.

NEW QUESTION # 60 ......

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