TCC-C01 LEARNING ENGINE - LATEST TCC-C01 EXAMPREP

TCC-C01 Learning Engine - Latest TCC-C01 Examprep

TCC-C01 Learning Engine - Latest TCC-C01 Examprep

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Tableau Certified Consultant (TCC-C01) PDF dumps are compatible with smartphones, laptops, and tablets. If you don't have time to sit in front of your computer all day but still want to get into some Tableau Certified Consultant (TCC-C01) exam questions, TCC-C01 Pdf Format is for you. The Tableau Certified Consultant (TCC-C01) PDF dumps are also available for candidates to print out the Tableau Certified Consultant (TCC-C01) exam questions at any time.

Tableau TCC-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 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
  • 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.

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Tableau Certified Consultant Sample Questions (Q36-Q41):

NEW QUESTION # 36
A client has a published data source in Tableau Server and they want to revert to the previous version of the data source. The solution must minimize the impact on users.
What should the consultant do to accomplish this task?

  • A. Select a previous version from Tableau Server, and then click Restore.
  • B. Select a previous version from Tableau Server, download it, and republish that data source.
  • C. Delete and recreate the data source manually.
  • D. Request that a server administrator restore a Tableau Server backup.

Answer: A

Explanation:
To minimize the impact on users when reverting to a previous version of a published data source in Tableau Server, the consultant should use the built-in revision history feature. By selecting a previous version from the revision history and clicking 'Restore', the data source will revert to that version without the need for a full server backup restoration or manual recreation of the data source. This process is quick and has the least amount of disruption to users.
References:The functionality and process for reverting to a previous version of a data source are outlined in Tableau's official documentation on working with content revisions1.This feature is part of Tableau Server's capabilities to manage and maintain data sources effectively21.


NEW QUESTION # 37
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 with Tableau Server Management Add-on
  • B. Tableau Catalog without Tableau Data Management Add-on
  • C. Tableau Catalog with Tableau Data Management Add-on
  • D. Tableau Prep Conductor

Answer: C

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.


NEW QUESTION # 38
A client is working in Tableau Prep and has a field named Orderld that is compiled by country, year, and an order number as shown in the following table.

What should the consultant use to transform the table in the most efficient manner?

  • A. The Aliases option
  • B. A calculated field that uses the LEFT function
  • C. The Split option
  • D. A calculated field that uses the TRIM function

Answer: C

Explanation:
To transform theOrderldfield in Tableau Prep, the Split option is the most efficient and straightforward method. Here's how you can apply it:
* In Tableau Prep, drag your dataset into the flow.
* Click on theOrderldfield in the workspace to select it.
* Look for the option in the toolbar that says "Split" and select it.
* Choose "Automatic Split" if the delimiters (such as hyphens) are consistent; Tableau Prep should automatically detect the hyphen as the delimiter and split theOrderldinto multiple new fields.
* The dataset should now show new columns: one for the country code (CA, FR, US), one for the year (2017), and one for the order number (152156, 152157, etc.).
The Split option works effectively here because it automatically identifies and uses the hyphen as the delimiter to divide the originalOrderldinto the desired components without manual specification of conditions or writing any formulas.
ReferencesThis procedure is based on the standard functionalities provided in Tableau Prep for splitting a field into multiple columns based on a delimiter, as described in the Tableau Prep user guide.


NEW QUESTION # 39
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 and leave data at daily level to calculate the averages in the report.
  • B. Move calculating averages to data layer and aggregate dates to monthly level.
  • C. 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.
  • D. Limit data to current and previous years, move calculating averages to data layer, and aggregate dates to monthly level.

Answer: D


NEW QUESTION # 40
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. Update the Widget Inventory Table to be a daily snapshot.
  • B. Create a temporary table in the database.
  • C. Use Tableau Desktop to visualize null values.
  • D. Use Tableau Prep to add new rows.

Answer: D

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 # 41
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