TEST TABLEAU TCC-C01 QUESTIONS PDF | RELIABLE TCC-C01 EXAM LABS

Test Tableau TCC-C01 Questions Pdf | Reliable TCC-C01 Exam Labs

Test Tableau TCC-C01 Questions Pdf | Reliable TCC-C01 Exam Labs

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Tableau Certified Consultant Sample Questions (Q40-Q45):

NEW QUESTION # 40
A client wants guidance for Creators to build efficient extracts from large data sources.
What are three Tableau best practices that the Creators should use? Choose three.

  • A. Use aggregate data for visible dimensions, whenever possible.
  • B. Hide all unused fields.
  • C. Keep only the data required for analysis by using extract filters.
  • D. Use only live connections as they are always faster than extracts.
  • E. Include all the data from the original data source in the extract.

Answer: A,B,C

Explanation:
To build efficient extracts from large data sources, it is crucial to minimize the load and optimize the performance of the extracts:
* A. Keep only the data required for analysis by using extract filters: This best practice involves using
* filters to reduce the volume of data extracted, thus focusing only on the data necessary for analysis.
* B. Use aggregate data for visible dimensions, whenever possible: Aggregating data at the time of extraction reduces the granularity of the data, which can significantly improve performance and reduce the size of the extract.
* E. Hide all unused fields: Removing fields that are not needed for analysis from the extract reduces the complexity and size of the data model, which in turn enhances performance and speeds up load times.
These practices are endorsed in Tableau's official documentation and training sessions as effective ways to enhance the performance of Tableau extracts and optimize dashboard responsiveness.


NEW QUESTION # 41
A client requests a published Tableau data source that is connected to SQL Server. The client needs to leverage the multiple tables option to create an extract. The extract will include partial data from the SQL Server data source.
Which action will reduce the amount of data in the extract?

  • A. Set up the extract as an incremental refresh.
  • B. Define the filters by using custom SQL.
  • C. Use an extract filter.
  • D. Aggregate the extract to the visible dimensions.

Answer: C

Explanation:
Using an extract filter is an effective way to reduce the amount of data in a Tableau extract. Extract filters allow you to specify a subset of the data to include, which can significantly decrease the size of the extract by excluding unnecessary data. This is particularly useful when you only need partial data from a larger SQL Server data source.
References:The recommendation to use extract filters to reduce data size is supported by Tableau's best practices for optimizing extracts.These practices suggest keeping the extract's data set short through filtering1.Additionally, discussions in the Tableau Community confirm that hiding fields and using extract filters before extracting data can help reduce the extract size2.
When dealing with large datasets in SQL Server and needing to create a manageable extract in Tableau, using an extract filter is the most direct and effective method to limit the data included:
* Extract Filter: This involves setting filters that apply directly when the data is extracted from the source. This means that only the data meeting the specified criteria will be extracted and loaded into Tableau, significantly reducing the size of the extract.
* To apply an extract filter, in the Data Source page in Tableau, drag the fields you want to filter by to the Filters shelf. Then, configure the desired filter criteria. When you create the extract, choose the option to
* "Add Filters to Extract" and select the configured filters. This ensures that only the data that meets these conditions is extracted from the SQL Server.
This approach not only minimizes the data volume but also speeds up performance in Tableau because it processes a smaller subset of the full dataset.
ReferencesThis procedure is described in detail in Tableau's help documentation on managing extracts and optimizing performance by using extract filters, which is recommended for scenarios involving large datasets or when specific subsets of data are required for analysis.


NEW QUESTION # 42
A consultant migrated a data source to improve performance. The consultant wants to identify which workbooks need to be updated to point to the new data source.
Which Tableau tool should the consultant use?

  • A. Tableau Advanced Management
  • B. Prep Conductor
  • C. Activity Log
  • D. Data Management

Answer: A

Explanation:
To identify which workbooks need to be updated to point to a new data source after a migration, a consultant should use Tableau Advanced Management. This component of Tableau provides comprehensive management capabilities including the ability to track workbook dependencies and data source usage across your entire Tableau environment. Using Tableau Advanced Management allows consultants to assess the impact of changes in the data source on connected workbooks and efficiently manage updates.


NEW QUESTION # 43
A consultant is designing a dashboard that will be consumed on desktops, tablets, and phones. The consultant needs to implement a dashboard design that provides the best user experience across all the platforms.
Which approach should the consultant take to achieve these results?

  • A. Build one dashboard and set the size to Automatic.
  • B. Build one dashboard and fix the size of the dashboard.
  • C. Build one dashboard that has desktop, tablet, and phone layouts, and fix the size of the layouts.
  • D. Build one dashboard for each type of device and fix the size of the layouts.

Answer: C

Explanation:
For a consultant designing a dashboard to be consumed across multiple device types, the best approach is:
* Multi-device Layout: Tableau provides the capability to design device-specific layouts within a single dashboard. This feature allows the dashboard to adapt its layout to best fit the screen size and orientation of desktops, tablets, and phones.
* Fixed Size Layouts: By fixing the size of each layout, the consultant can ensure that the dashboard appears consistent and maintains the intended design elements and user experience across devices. Fixed sizes prevent components from resizing in ways that could disrupt the dashboard's readability or functionality.
* Implementation: In Tableau, you can create these layouts by selecting 'Device Preview' and adding custom layouts for each device type. Here, you define the dimensions and the positioning of sheets and controls tailored to each device's typical viewing mode.
ReferencesThis approach leverages Tableau's device designer capabilities, which are specifically designed to optimize dashboards for multiple viewing environments, ensuring a seamless user experience regardless of the device used. This functionality is well documented in Tableau's official guides on creating and managing device-specific dashboards.


NEW QUESTION # 44
A multi-national company wants to have a Tableau dashboard that will provide country-level information for both its forecast summaries and year-on-year metrics. The company wants to toggle between these two views while leaving main key performance indicators (KPIs) visible on the main dashboard.
Which method is the most efficient in achieving the company's requirements?

  • A. Create a Boolean parameter with the two names of the views as aliases and a corresponding calculated field with the following calculation: True.
    . Add the forecast summary sheet to the dashboard and add the year-on-year metrics sheet to the same dashboard as a Floating dashboard object.
    . Add the calculated fields as a Detail under the Marks card of the floating view, create a "Change Parameter" action, and set the
    "Target Parameter" and "Source Fields" to the parameter and calculated field you created.
    . Check the box for "Control visibility using value" in the Layout tab of the floating view and select the parameter you created.
  • B. Create a single worksheet with all the measures required for both the forecast summary and the year-on-year views.
    . Create a Boolean parameter and a corresponding calculated field with the following calculation: True.
    . Add a blank dashboard object and in the Layout tab, check the box for "Control visibility using value" and select the parameter you created.
  • C. Create a parameter that accepts values from a list that contains "Forecast View" and "Year-on-Year View."
    . Right-click the parameter and select Add to Sheet for both worksheets.
    . Navigate back to the dashboard and to the upper corner of the two worksheets.
    . Enable the Use as Filter option.
  • D. Create a dashboard with the sheets containing the main KPIs and the forecast summary worksheet.
    . Duplicate this dashboard and replace the forecast view worksheet with the year-on-year metrics worksheet.
    . Add navigation buttons to both dashboards.

Answer: A

Explanation:
The most efficient method for toggling between two views (forecast summaries and year-on-year metrics) while keeping main KPIs visible involves using a parameter and calculated fields for controlling visibility:
* Create a Boolean Parameter: This parameter will have two aliases representing the two views ("Forecast View" and "Year-on-Year View"). This allows the user to select which view they wish to see directly from the dashboard.
* Calculated Field: Create a calculated field that always returnsTrue. This field acts as a constant placeholder to enable the visibility control tied to the parameter.
* Dashboard Setup: Place both the forecast summary and the year-on-year metrics sheets on the dashboard. Set the year-on-year metrics sheet as a floating object over the forecast summary.
* Visibility Control: Use the "Control visibility using value" option in the Layout tab for the floating year-on-year metrics view. Tie this setting to the Boolean parameter so that changing the parameter will show or hide this view without affecting the main KPIs displayed on the dashboard.
* Interactivity: Implement a "Change Parameter" dashboard action where selecting different options in the dashboard (e.g., clicking on certain parts) triggers the parameter to change, thus toggling the visible view.
ReferencesThis method leverages Tableau's dashboard interactivity features including parameters, calculated fields, and visibility settings, as recommended in Tableau's user guide on dynamic dashboard design.


NEW QUESTION # 45
......

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