Question 1

Your organization is adopting Tableau for its reporting needs and requires a robust process for developing and deploying Tableau workbooks.

What approach should you recommend for the workbook lifecycle from creation to deployment?

Options :

A : Create workbooks directly in the production environment to speed up the deployment process

B : Develop workbooks in a separate development environment, followed by testing in a staging environment, and then deploy to production

C : Allow users to develop and deploy workbooks individually to promote creativity and speed

D : Use Tableau-s live data connection feature to build and test workbooks simultaneously in real-time

Answer: B

Question 2

A Tableau workbook is connected to a large dataset and uses numerous calculated fields for data cleansing, such as trimming whitespace and converting strings to standardized formats.

The workbook’s performance is significantly slow. What is the best approach to address this issue?

Options :

A : Move the data cleansing calculations to the data source level, possibly using ETL processes

B : Use Tableau Prep to handle these data cleansing operations before loading the data into Tableau

C : Replace the calculated fields with equivalent Tableau functions to improve efficiency

D : Increase the processing power of the Tableau Server

Answer: A

Question 3

A stakeholder has multiple files saved (CSV/Tables) in a single location. A few files from the location are

required for analysis. Data transformation (calculations)

is required for the files before designing the visuals. The files have the following attributes:

. All files have the same schema.

. Multiple files have something in common among their file names.

. Each file has a unique key column.

Which data transformation strategy should the consultant use to deliver the best optimized result?

Options :

A :

Use join option to combine/merge all the files together before doing the data transformation (calculations).

B :

Use wildcard Union option to combine/merge all the files together before doing the data transformation (calculations).

C :

Apply the data transformation (calculations) in each require file and do the wildcard union to combine/merge before designing the visuals.

D :

Apply the data transformation (calculations) in each require file and do the join to combine/merge before designing the visuals.

Answer: B

Question 4

A Tableau consultant is designing a dashboard for a client who wants to track the average time to sell products after their release. The data includes product release dates and sale dates.

Which calculation should the consultant implement to meet this requirement in Tableau?

Options :

A : A calculated field to count the number of days between the product release date and the sale date for each product

B : A level of detail (LOD) expression to find the average number of days from release to sale for all products

C : A table calculation to calculate running average time from release to sale for each product category

D : A fixed calculation to compare the release and sale dates for each product

Answer: B

Question 5

In a healthcare organization using Tableau, there is a need to organize content so that clinical staff can easily access patient care dashboards, while administrative staff can access operational reports.

What is the best strategy to organize this content in Tableau?

Options :

A : Consolidate all dashboards and reports into a single project for ease of access

B : Organize content into distinct projects based on function, such as 'Clinical' and 'Administrative', with appropriate access permissions

C : Encourage users to create personal copies of dashboards for customized access

D : Implement row-level security on all dashboards to control data visibility based on the user-s role

Answer: B

Free TCC-C01 Mock Exam – Practice Online Confidently

Buying Options: