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Tableau TCC-C01 Exam Sample Questions


Question # 1

A client is searching for ways to curate and document data in order to obtain data lineage. The client has a data source connected to a data lake. Which tool should the consultant recommend to meet the client's requirements?
A. Tableau Catalog without Tableau Data Management Add-on
B. Tableau Catalog with Tableau Data Management Add-on
C. Tableau Prep Conductor
D. Tableau Catalog with Tableau Server Management Add-on


B. Tableau Catalog with Tableau Data Management Add-on
Explanation:

To effectively curate and document data for obtaining data lineage, particularly from a data source connected to a data lake, the recommended tool is:

Tableau Catalog with Tableau Data Management Add-on: This add-on enhances the capabilities of Tableau Catalog, providing extensive features for data management, including detailed data lineage, impact analysis, and metadata management.

Functionality: The Tableau Catalog with the Data Management Add-on allows users to see the full history and lineage of the data, trace its usage across all Tableau content, and understand dependencies. It also facilitates better governance and transparency in data handling.

Why Choose this Tool: For a client needing comprehensive data lineage and documentation capabilities, this add-on ensures that data stewards and users can maintain and utilize a well-managed data environment. It supports robust data governance practices necessary for large and complex data ecosystems like those typically associated with data lakes.

ReferencesThe recommendation is based on the functionalities offered by the Tableau Data Management Add-on, as described in Tableau's official documentation on managing and documenting data sources for enhanced governance and operational efficiency.




Question # 2

A client uses Tableau Data Management and notices that when they view a data source, they sometimes see a different count of workbooks in the Connected Workbooks tab compared to the lineage count in Tableau Catalog. What is the cause of this discrepancy?
A. Some workbooks have been connected to the data source, but do not use any fields from it.
B. Some workbooks have not been viewed by enough users yet.
C. Some of the workbooks connected to the data source are not visible to the user due to permissions.
D. Some Creators have connected to the data source in Tableau Desktop but have not yet published a workbook.


C. Some of the workbooks connected to the data source are not visible to the user due to permissions.
Explanation:

The discrepancy between the count of workbooks in the Connected Workbooks tab and the lineage count in Tableau Catalog can occur because of user permissions. In Tableau Data Management, the visibility of connected workbooks is subject to the permissions set by administrators. If a user does not have permission to view certain workbooks, they will not see them listed in the Connected Workbooks tab, even though these workbooks are part of the data source’s lineage and are counted in Tableau Catalog.

References:

This explanation is based on the functionality of Tableau Data Management and Tableau Catalog, which includes managing user permissions and access to workbooks.The information is supported by Tableau’s official documentation on data management and security practices1.




Question # 3

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.



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:
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.





Question # 4

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. Integers are fastest, followed by Booleans, and then strings.
C. Strings, integers, and Booleans all perform the same.
D. Booleans are fastest, followed by integers, and then strings.


B. Integers are fastest, followed by Booleans, and then strings.
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.





Question # 5

A client has a dashboard that uses a bar chart to visualize sales by Sub-Category and a detail table that has all the orders for the products within Sub- Category. The table has more than 10,000 rows of data and is slow to load. A consultant plans to add an action so when the client interacts with the bar chart, only the relevant data appears in the table. What will provide the fastest rendering of the dashboard?
A. Add a filter action, set "Run action on" to Select, and set "Clearing the selection will" to Exclude all values.
B. Add a highlight action and set Target Highlighting to Sub-Category.
C. Add a highlight action and set Target Highlighting to All Fields.
D. Add a filter action, set "Run action on" to Menu, and set "Clearing the selection will" to Show all values.


A. Add a filter action, set "Run action on" to Select, and set "Clearing the selection will" to Exclude all values.
Explanation:

To optimize the dashboard rendering, particularly when dealing with a large dataset, a filter action is the most effective tool. Here's why the specified choice is optimal:

Add a filter action: This action creates a direct filter on the detail table based on the selection in the bar chart. It ensures that only data related to the selected sub-category is loaded into the table, significantly reducing load time and improving performance.

Set "Run action on" to Select: This setting means the filter action will be triggered as soon as the user selects a bar in the bar chart. Immediate activation of the filter ensures that the dashboard is interactive and responsive.

Set "Clearing the selection will" to Exclude all values: When the selection is cleared, this setting ensures that no data is shown, which avoids loading the entire dataset unnecessarily. This maintains performance when no sub-category is actively selected.

ReferencesThis strategy follows Tableau’s performance best practices by using actions to limit the amount of data processed and rendered, as detailed in the Tableau User Guide and training materials on Dashboard Actions for optimizing large datasets.




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