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Tableau TCC-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Plan and Prepare Data Connections: This section focuses on planning data transformation and preparing connections, targeting Tableau-certified consultants. Candidates will recommend data storage methods, design row-level security structures, and troubleshoot complex data connection issues.
Topic 2	Establish Governance and Support Published Content: This section measures the skills of Tableau-certified consultants related to governance strategies within Tableau environments. Candidates will map governance requirements, recommend content access strategies, design administrative views, and identify external errors affecting performance.
Topic 3	Design and Troubleshoot Calculations and Workbooks: This domain evaluates the ability to design advanced analytics and troubleshoot workbooks. Candidates will implement calculations, optimize performance, and plan interactivity for dashboards while resolving performance issues.
Topic 4	Evaluate Current State: This domain measures the skills of Tableau-certified consultants in assessing the current analytics landscape. Candidates will evaluate existing reports and data structures to ensure alignment with business needs and recommend appropriate Tableau deployment options.

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Tableau Certified Consultant Sample Questions (Q43-Q48):

NEW QUESTION # 43
An executive-level workbook leverages 37 of the 103 fields included in a data source. Performance for the workbook is noticeably slower than other workbooks on the same Tableau Server.
What should the consultant do to improve performance of this workbook while following best practice?

A. Connect to the data source via a custom SQL query.
B. Restrict users from accessing the workbook to reduce server load.
C. Use filters, hide unused fields, and aggregate values.
D. Split some visualizations on the dashboard into many smaller visualizations on the same dashboard.

Answer: C

Explanation:
To improve the performance of a Tableau workbook, it is best practice to streamline the data being used. This can be achieved by using filters to limit the data to only what is necessary for analysis, hiding fields that are not being used to reduce the complexity of the data model, and aggregating values to simplify the data and reduce the number of rows that need to be processed. These steps can help reduce the load on the server and improve the speed of the workbook.
References:The best practices for optimizing workbook performance in Tableau are well-documented in Tableau's official resources, including the Tableau Help Guide and the Designing Efficient Workbooks whitepaper, which provide detailed recommendations on how to streamline workbooks for better performance12.

NEW QUESTION # 44
A client creates a report and publishes it to Tableau Server where each department has its own user group set on the server. The client wants to limit visibility of the report to the sales and marketing groups in the most efficient manner.
Which approach should the consultant recommend?

A. Use user groups defined on Tableau Server to build user filters in the report's data source.
B. Add user filters from Tableau Server to each worksheet and select only sales and marketing user groups.
C. Grant access to the report on the Tableau Server only to the members of sales and marketing user groups.
D. Prepare a row-level security (RLS) entitlement table to define limitations of the access and use it to build user filters in the report's data source.

Answer: C

Explanation:
The most efficient way to limit report visibility to specific user groups on Tableau Server is to manage permissions directly on the server. By granting access to the report only to the sales and marketing user groups, the client ensures that only members of these groups can view the report. Thismethod is straightforward and does not require the additional steps involved in setting up row-level security or user filters.
References:The approach is supported by best practices in managing user permissions and visibility on Tableau Server, as described in the Tableau Community and official Tableau resources12.

NEW QUESTION # 45
A client has a pipeline dashboard that takes a long time to load. The dashboard is connected to only one large data source that is an extract.
It contains two calculated fields:
. TOTAL([Opportunities])
SUM([Value])
It also contains two filters:
. A Relative Date filter on Created Date, a Date field containing values from 5 years ago until today
. A Multiple Values (Dropdown) filter on Account Name, a String field containing 1,000 distinct values A consultant creates a Performance Recording to troubleshoot the issue, and finds out that the longest-running event is "Executing Query." Which step should the consultant take to resolve this issue?

A. Replace the TOTAL([Opportunities]) calculation with a Grand Total.
B. Replace SUM([Value]) with WINDOW_SUM([Value]).
C. Replace the Relative Date filter with a Multiple Values (Dropdown) filter on YEAR([Created Date]).
D. Replace the Multiple Values (Dropdown) filter with a Multiple Values (Custom List) filter.

Answer: C

Explanation:
To improve the loading time of the pipeline dashboard, which primarily suffers from long query execution times due to a comprehensive Relative Date filter:
* Relative Date Filter Issue: The existing Relative Date filter on "Created Date" covers a broad range (5
* years), leading to significant data processing overhead as it includes granular date calculations over a large dataset.
* Optimized Approach: By replacing the Relative Date filter with a Multiple Values (Dropdown) filter based on YEAR([Created Date]), the filter granularity is reduced. Filtering by year simplifies the query by limiting the volume of data processed and reducing the complexity of the filter condition.
* Implementation Benefit: This approach still provides the flexibility to view data across different years but does so by reducing the load on the database during query execution, which is critical for improving the performance of the dashboard.
ReferencesThis recommendation aligns with Tableau performance optimization strategies, specifically regarding the management of date filters to minimize their impact on query load, as discussed in Tableau performance tuning sessions and guides.

NEW QUESTION # 46
A client is considering migrating from Tableau Server to Tableau Cloud.
Which two elements are determining factors of whether the client should use Tableau Server or Tableau Cloud? Choose two.

A. Amount of data storage used on the client's existing server
B. Whether or not there are large numbers of concurrent extract refreshes
C. Whether or not the client plans to leverage single sign-on (SSO)
D. Whether or not the client needs the ability to connect to public, cloud-based data sources

Answer: B,C

Explanation:
When considering a migration from Tableau Server to Tableau Cloud, two critical factors to consider are the client's need for single sign-on (SSO) and the volume of concurrent extract refreshes.
* Single Sign-On (SSO):Tableau Cloud supports SSO, which can streamline user authentication and enhance security.If the client plans to leverage SSO, Tableau Cloud may be a suitable choice1.
* Concurrent Extract Refreshes:The number of concurrent extract refreshes is a significant factor because it impacts performance and resource allocation.Tableau Server might be more appropriate if the client has a high volume of concurrent extract refreshes, as it allows for more control over the infrastructure to manage these workloads2.
References:The decision between Tableau Server and Tableau Cloud should be based on specific organizational needs, including security, compliance, performance, and scalability.The official Tableau resources provide guidance on these factors12.Additionally, discussions in the Tableau Community highlight the importance of considering these elements when choosing between Tableau Server and Tableau Cloud1.

NEW QUESTION # 47
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 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.
B. 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.
C. 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.
D. 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.

Answer: C

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 # 48
......

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2025 TABLEAU TCC-C01 UNPARALLELED RELIABLE BRAINDUMPS PASS GUARANTEED QUIZ

2025 Tableau TCC-C01 Unparalleled Reliable Braindumps Pass Guaranteed Quiz