EXAM TCC-C01 FLASHCARDS | RELIABLE TCC-C01 TEST PREPARATION

Exam TCC-C01 Flashcards | Reliable TCC-C01 Test Preparation

Exam TCC-C01 Flashcards | Reliable TCC-C01 Test Preparation

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Tags: Exam TCC-C01 Flashcards, Reliable TCC-C01 Test Preparation, New TCC-C01 Test Fee, Real TCC-C01 Torrent, TCC-C01 Reliable Learning Materials

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Tableau Certified Consultant Sample Questions (Q43-Q48):

NEW QUESTION # 43
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. Published data sources that use live connections
  • B. Published data sources that use extracts
  • C. Tableau Prep flows
  • D. Workbooks

Answer: C

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 # 44
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. Include all the data from the original data source in the extract.
  • B. Keep only the data required for analysis by using extract filters.
  • C. Hide all unused fields.
  • D. Use only live connections as they are always faster than extracts.
  • E. Use aggregate data for visible dimensions, whenever possible.

Answer: B,C,E

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 # 45
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. Blending the first two tables with the third
  • B. Relating the tables in Tableau Desktop
  • C. Joining the tables in Tableau Desktop
  • D. Joining the tables in Tableau Prep

Answer: B

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 # 46
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. Move calculating averages to data layer and aggregate dates to monthly level.
  • B. 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.
  • C. Limit data to current and previous years and leave data at daily level to calculate the averages in the report.
  • D. Limit data to current and previous years, move calculating averages to data layer, and aggregate dates to monthly level.

Answer: D


NEW QUESTION # 47
A new Tableau user created a simple dashboard on Tableau Server using supply chain data. Now, the user wants to know if they created the dashboard in accordance with specific performance best practices.
Which approach should the consultant recommend for the client to make this determination?

  • A. Use inbuilt dashboards in Tableau Server to troubleshoot the performance.
  • B. Run Workbook Optimizer.
  • C. Use Performance Recording in Tableau Desktop.
  • D. Use Performance Recording on Tableau Server.

Answer: B

Explanation:
The Workbook Optimizer is a tool specifically designed to evaluate a workbook against performance best practices. It provides feedback on key design characteristics and offers concrete guidance on how to improve workbook performance.This tool is beneficial for both new and experienced Tableau users to ensure their dashboards are optimized for performance1.
References:The Workbook Optimizer's functionality is detailed in Tableau's official documentation, which explains how it assesses workbooks against a set of rules derived from best practices1.Additionally, the Performance Recording feature in Tableau Desktop and Server can be used to identify performance issues, but the Workbook Optimizer gives a more comprehensive analysis of the workbook's adherence to best practices23.


NEW QUESTION # 48
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