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Salesforce Certified Tableau Consultant 認定 Analytics-Con-301 試験問題 (Q82-Q87):
質問 # 82
SIMULATION
From the desktop, open the CC workbook.
Open the City Pareto worksheet.
You need to complete the Pareto chart to show the percentage of sales compared to the percentage of cities. The chart must show references lines to visualize how the data compares to the Pareto principle.
From the File menu in Tableau Desktop, click Save.
正解：
解説：
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.
質問 # 83
A client collects information about a web browser customers use to access their website. They then visualize the breakdown of web traffic by browser version.
The data is stored in the format shown below in the related table, with a NULL BrowserID stored in the Site Visitor Table if an unknown browser version accesses their website.
The client uses "Some Records Match" for the Referential Integrity setting because a match is not guaranteed.
The client wants to improve the performance of
the dashboard while also getting an accurate count of site visitors.
Which modifications to the data tables and join should the consultant recommend?
正解：D
解説：
To improve the performance of a Tableau dashboard while maintaining accurate counts, particularly when dealing with unknown or NULL BrowserIDs in the data tables, the following steps are recommended:
* Modify the Browser Table: Add a new row to the Browser Table labeled "Unknown," assigning it a unique BrowserID, e.g., 0 or 4.
* Update the Site Visitor Table: Replace all NULL BrowserID entries with the BrowserID assigned to the "Unknown" entry. This ensures every record in the Site Visitor Table has a valid BrowserID that corresponds to an entry in the Browser Table.
* Change Referential Integrity Setting: Change the Referential Integrity setting from "Some Records Match" to "All Records Match." This change assumes all records in the primary table have corresponding records in the secondary table, which improves query performance by allowing Tableau to make optimizations based on this assumption.
References:
Handling NULL Values: Replacing NULL values with a valid unknown option ensures that all data is included in the analysis, and integrity between tables is maintained, thereby optimizing the performance and accuracy of the dashboard.
質問 # 84
A client wants to see data for only the most recent day in the dataset that is updated intermittently. The solution should offer the best caching performance.
Which approach should the consultant use to produce the desired results?
正解：D
解説：
Comprehensive and Detailed Explanation From Exact Extract:
The client wants to always show the most recent day present in the data, not today's date. The dataset is updated intermittently, meaning some days may have no new rows. Tableau documentation states that:
* Using TODAY() recalculates on every query and prevents effective caching because Tableau must compute the current date for each refresh.
* Using Relative Date Filters like "Last 1 day" also prevents caching because Tableau evaluates relative conditions each time the workbook loads.
* Quick Filters also break caching and decrease performance because they require interactive evaluation on each render.
* A FIXED LOD calculation allows Tableau to compute the maximum date inside the extract, which preserves caching because it is data-driven, not time-driven.For example:{ FIXED : MAX([Date]) } Then filtering where [Date] = { FIXED : MAX([Date]) } ensures only the most recent date in the dataset is shown.
Tableau's documentation on performance emphasizes that caching is maximized when calculations depend only on the data itself and not on functions like TODAY() or relative filters.
A FIXED LOD provides the best caching performance and correctly returns the most recent date based on the dataset rather than the current system date.
* Tableau extract caching behavior describing how data-dependent filters cache better than time- dependent filters.
* LOD Expressions guidance recommending FIXED for identifying values like "latest date in the dataset."
* Tableau performance guidelines discouraging TODAY() and relative date filters when caching is important.
質問 # 85
SIMULATION
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.
正解：
解説：
See the complete Steps below in Explanation
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:
Double-click on the CC workbook from the desktop to open it in Tableau Desktop.
Navigate to the Manufacturers worksheet by selecting its tab at the bottom of the window.
Modify the Percent Contribution Calculated Field:
Navigate to the Data pane and find the "Percent Contribution" calculated field.
Right-click on the "Percent Contribution" field and select 'Edit'.
Modify the formula to incorporate an LOD expression that calculates the total quantity across all manufacturers and the specific quantity per manufacturer:
{FIXED [Manufacturer]: SUM([Quantity])} / {SUM([Quantity])}Quantity])}
This formula uses {FIXED [Manufacturer]: SUM([Quantity])} to compute the total quantity contributed by each manufacturer, regardless of other dimensions in the view. The total quantity {SUM([Quantity])} calculates the grand total across all manufacturers. The division calculates the percentage contribution.
Click 'OK' to save the updated calculated field.
Enter Percentage for Newell:
With the updated "Percent Contribution" field, drag it onto the view to update the chart or table.
Identify the value corresponding to 'Newell' in the updated visualization.
Round this value to the nearest hundredth of a percent as required.
Enter this value into the "Newell % Contribution" parameter. To do this, locate the parameter in the Data pane or on the dashboard, right-click it, and choose 'Edit'. Enter the calculated percentage for Newell.
Save Your Changes:
From the File menu, click 'Save' to store all the modifications you have made to the workbook.
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.
質問 # 86
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.
正解：
解説：
See the complete Steps below in Explanation:
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:
* Double-click on the CC workbook from the desktop to open it in Tableau Desktop.
* Navigate to the Manufacturers worksheet by selecting its tab at the bottom of the window.
* Modify the Percent Contribution Calculated Field:
* Navigate to the Data pane and find the "Percent Contribution" calculated field.
* Right-click on the "Percent Contribution" field and select 'Edit'.
* Modify the formula to incorporate an LOD expression that calculates the total quantity across all manufacturers and the specific quantity per manufacturer:
{FIXED [Manufacturer]: SUM([Quantity])} / {SUM([Quantity])}Quantity])}
* This formula uses {FIXED [Manufacturer]: SUM([Quantity])} to compute the total quantity contributed by each manufacturer, regardless of other dimensions in the view. The total quantity
{SUM([Quantity])} calculates the grand total across all manufacturers. The division calculates the percentage contribution.
* Click 'OK' to save the updated calculated field.
* Enter Percentage for Newell:
* With the updated "Percent Contribution" field, drag it onto the view to update the chart or table.
* Identify the value corresponding to 'Newell' in the updated visualization.
* Round this value to the nearest hundredth of a percent as required.
* Enter this value into the "Newell % Contribution" parameter. To do this, locate the parameter in the Data pane or on the dashboard, right-click it, and choose 'Edit'. Enter the calculated percentage for Newell.
* Save Your Changes:
* From the File menu, click 'Save' to store all the modifications you have made to the workbook.
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.
質問 # 87
......
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