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 consultant is tasked with setting up RLS for a university’s Tableau project, where department heads should have access to their department’s data and the university-wide data, while individual professors should only access data from their respective departments.

How should the consultant implement RLS?

Options :

A : Implement RLS based solely on individual user roles without considering departmental hierarchies

B : Establish a hierarchical RLS structure based on the university-s departmental organization

C : Assign the same access level to all staff members, irrespective of their roles

D : Manually update RLS settings each semester to reflect changes in staff and department heads

Answer: B

Question 3

You use a performance recording to diagnose a slow Tableau workbook and discover that the most time-consuming part is “Computing Layouts” for multiple complex dashboards.

What is the most effective approach to improve the performance of these dashboards?

Options :

A : Simplify the dashboard layouts by reducing the number of complex visualizations

B : Upgrade the hardware of the Tableau Server for better performance

C : Convert the data sources from live connections to extracts

D : Rebuild the dashboards using only basic visualizations

Answer: A

Question 4

In a Tableau workbook, you need to find the average sales amount for each product category, but only considering those customers who have made purchases above a certain threshold.

How should you structure the LOD expression?

Options :

A : Use a FIXED LOD expression to calculate the average sales per category for all customers, then filter out customers below the purchase threshold

B : Apply a FIXED LOD expression to first identify customers above the purchase threshold, then another FIXED LOD to calculate the average sales per category for these customers

C : Implement an EXCLUDE LOD expression to exclude customers below the purchase threshold and then calculate the average sales per category

D : Utilize an INCLUDE LOD expression to include only those customers above the purchase threshold in the average sales calculation per category

Answer: B

Question 5

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

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