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Salesforce Certified Tableau Consultant Sample Questions (Q35-Q40):
NEW QUESTION # 35
SIMULATION
Use the following login credentials to sign in
to the virtual machine:
Username: Admin
Password:
The following information is for technical
support purposes only:
Lab Instance: 40201223
To access Tableau Help, you can open the
Help.pdf file on the desktop.
From the desktop, open the CC workbook.
Open the Categorical Sales worksheet.
You need to use table calculations to
compute the following:
. For each category and year, calculate
the average sales by segment.
. Create another calculation to
compute the year-over-year
percentage change of the average
sales by category calculation. Replace
the original measure with the year-
over-year percentage change in the
crosstab.
From the File menu in Tableau Desktop, click
Save.
Answer:
Explanation:
See the complete Steps below in Explanation
Explanation:
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:
Open the CC workbook and navigate to the Categorical Sales worksheet.
Drag the 'Sales' field to the Rows shelf if it's not already there.
Drag the 'Segment' field to the Rows shelf as well, placing it next to 'Category' and 'Year'.
Right-click on the 'Sales' field in the Rows shelf and select 'Quick Table Calculation' > 'Average'. This will compute the average sales for each segment within each category and year.
Create a Calculation for Year-over-Year Percentage Change:
Right-click in the data pane and select 'Create Calculated Field'.
Name the calculated field something descriptive, e.g., "YoY Sales Change".
Enter the formula to calculate the year-over-year percentage change:
(ZN(SUM([Sales])) - LOOKUP(ZN(SUM([Sales])), -1)) / ABS(LOOKUP(ZN(SUM([Sales])), -1)) Click 'OK' to save the calculated field.
Replace the Original Measure with the Year-over-Year Percentage Change in the Crosstab:
Remove the original 'Sales' measure from the view by dragging it off the Rows shelf.
Drag the newly created "YoY Sales Change" calculated field to the Rows shelf where the 'Sales' field was originally.
Format the "YoY Sales Change" field to display as a percentage. Right-click on the field in the Rows shelf, select 'Format', and adjust the number format to percentage.
Save Your Changes:
From the File menu, click 'Save' to ensure all your changes are stored.
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.
NEW QUESTION # 36
SIMULATION
Refer to the exhibit.
From the desktop, open the NYC
Property Transactions workbook.
You need to record the performance of
the Property Transactions dashboard in
the NYC Property Transactions.twbx
workbook. Ensure that you start the
recording as soon as you open the
workbook. Open the Property
Transactions dashboard, reset the filters
on the dashboard to show all values, and
stop the recording. Save the recording in
C:CCData.
Create a new worksheet in the
performance recording. In the worksheet,
create a bar chart to show the elapsed
time of each command name by
worksheet, to show how each sheet in
the Property Transactions dashboard
contributes to the overall load time.
From the File menu in Tableau Desktop,
click Save. Save the performance
recording in C:CCData.
Answer:
Explanation:
See the complete Steps below in Explanation
Explanation:
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:
From the desktop, double-click the NYC Property Transactions.twbx workbook to open it in Tableau Desktop.
Start Performance Recording:
Before doing anything else, navigate to the 'Help' menu in Tableau Desktop.
Select 'Settings and Performance', then choose 'Start Performance Recording'.
Open the Property Transactions Dashboard and Reset Filters:
Navigate to the Property Transactions dashboard within the workbook.
Reset all filters to show all values. This usually involves selecting the dropdown on each filter and choosing 'All' or using a 'Reset' button if available.
Stop the Performance Recording:
Go back to the 'Help' menu.
Choose 'Settings and Performance', then select 'Stop Performance Recording'.
Tableau will automatically open a new tab displaying the performance recording results.
Save the Performance Recording:
In the performance recording results tab, go to the 'File' menu.
Click 'Save As' and navigate to the C:CCData directory.
Save the file, ensuring it is stored in the desired location.
Create a New Worksheet for Performance Analysis:
Return to the NYC Property Transactions workbook and create a new worksheet by clicking on the 'New Worksheet' icon.
Drag the 'Command Name' field to the Columns shelf.
Drag the 'Elapsed Time' field to the Rows shelf.
Ensure that the 'Worksheet' field is also included in the analysis to break down the time by individual sheets within the dashboard.
Choose 'Bar Chart' from the 'Show Me' options to display the data as a bar chart.
Customize and Finalize the Bar Chart:
Adjust the axes and labels to clearly display the information.
Format the chart to enhance readability, applying color coding or sorting as needed to emphasize sheets with longer load times.
Save Your Work:
Once the new worksheet and the performance recording are complete, ensure all work is saved.
Navigate to the 'File' menu and click 'Save', confirming that changes are stored in the workbook.
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.
NEW QUESTION # 37
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.
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 # 38
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?
Answer: A
Explanation:
The correct calculation for classifying profit margins into categories based on specified thresholds involves the use of conditional statements that check ranges in a logical order:
Highly Profitable Classification: The first condition checks if the profit margin is 50% or more. This must use the ">=" operator to include exactly 50% as "Highly Profitable".
Profitable Classification: The next condition checks if the profit margin is between 0% and 50%. Since any value falling at or above 50% is already classified, this condition only needs to check for values greater than or equal to 0%.
Unprofitable Classification: The final condition captures any remaining scenarios, which would only be values less than 0%.
References:
Logical Order in Conditional Statements: It is crucial in programming and data calculation to ensure that conditions in IF statements are structured in a logical and non-overlapping manner to accurately categorize all possible values.
NEW QUESTION # 39
A client is working in Tableau Prep and has a field named Orderld that is compiled by country, year, and an order number as shown in the following table.
What should the consultant use to transform the table in the most efficient manner?
Answer: C
Explanation:
To transform the Orderld field in Tableau Prep, the Split option is the most efficient and straightforward method. Here's how you can apply it:
In Tableau Prep, drag your dataset into the flow.
Click on the Orderld field in the workspace to select it.
Look for the option in the toolbar that says "Split" and select it.
Choose "Automatic Split" if the delimiters (such as hyphens) are consistent; Tableau Prep should automatically detect the hyphen as the delimiter and split the Orderld into multiple new fields.
The dataset should now show new columns: one for the country code (CA, FR, US), one for the year (2017), and one for the order number (152156, 152157, etc.).
The Split option works effectively here because it automatically identifies and uses the hyphen as the delimiter to divide the original Orderld into the desired components without manual specification of conditions or writing any formulas.
References
This procedure is based on the standard functionalities provided in Tableau Prep for splitting a field into multiple columns based on a delimiter, as described in the Tableau Prep user guide.
NEW QUESTION # 40
......
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