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Tableau Certified Consultant Sample Questions (Q50-Q55):

NEW QUESTION # 50
A client has a database that stores widget inventory by day and it is updated on a nonstandard schedule as shown below.

They want a data visualization that shows widget inventory daily, however their business unit does not have the ability to modify the data warehouse structure.
What should the client do to achieve the desired result?

A. Create a temporary table in the database.
B. Use Tableau Desktop to visualize null values.
C. Use Tableau Prep to add new rows.
D. Update the Widget Inventory Table to be a daily snapshot.

Answer: C

Explanation:
For a client who needs a daily visualization of widget inventory but cannot modify the data warehouse structure, the best approach is to use Tableau Prep to add new rows. Tableau Prep can be used to manipulate the existing dataset by adding missing date entries and appropriately adjusting inventory counts based on available data. This allows the creation of a complete daily snapshot for visualization without needing changes to the underlying database structure.

NEW QUESTION # 51
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:
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.

NEW QUESTION # 52
A client is using the Tableau Content Migration Tool to move content from an old Tableau Server to a new Tableau Server.
Which content will need to be moved using a different tool or process?

A. Tableau Prep flows
B. Workbooks
C. Published data sources that use extracts
D. Published data sources that use live connections

Answer: A

Explanation:
When migrating content between Tableau servers, certain types of content may require special consideration or different tools for migration:
* Tableau Prep Flows: These are specific to Tableau Prep and are not included in the standard content migration capabilities of the Tableau Content Migration Tool. Tableau Prep flows often require separate processes for migration due to their distinct setup and integration with data sources and workflows.
* Published Data Sources and Workbooks: These can typically be migrated directly using the Tableau Content Migration Tool, which supports moving published data sources (both live connections and extracts) and workbooks without requiring additional tools.
References:
* Tableau Help and Support: Offers comprehensive tutorials and guidelines on using different tools for migrating various types of content, including the specific requirements for migrating Tableau Prep flows which are not covered by the standard content migration tool.

NEW QUESTION # 53
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 # 54
A client builds a dashboard that presents current and long-term stock measures. Currently, the data is at a daily level. The data presents as a bar chart that presents monthly results over current and previous years. Some measures must present as monthly averages.
What should the consultant recommend to limit the data source for optimal performance?

A. Limit data to current and previous years as well as to the last day of each month to eliminate the need to use the averages.
B. Limit data to current and previous years and leave data at daily level to calculate the averages in the report.
C. Move calculating averages to data layer and aggregate dates to monthly level.
D. Limit data to current and previous years, move calculating averages to data layer, and aggregate dates to monthly level.

Answer: D

NEW QUESTION # 55
......

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