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. Grant access to the report on the Tableau Server only to the members of sales and marketing user groups.
• B. 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.
• C. Add user filters from Tableau Server to each worksheet and select only sales and marketing user groups.
• D. Use user groups defined on Tableau Server to build user filters in the report's data source.

A client collects information about a web browser customers use to access their website. They then visualize the breakdown of web traffic by browser version.
The data is stored in the format shown below in the related table, with a NULL BrowserID stored in the Site Visitor Table if an unknown browser version accesses their website.

The client uses "Some Records Match" for the Referential Integrity setting because a match is not guaranteed.
The client wants to improve the performance of
the dashboard while also getting an accurate count of site visitors.
Which modifications to the data tables and join should the consultant recommend?

• A. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and change the Referential Integrity to "All Records Match."
• B. Continue to use NULL as the BrowserID in the Site Visitor Table and change the Referential Integrity to
  "All Records Match."
• C. Add an "Unknown" option to the Browser Table, reference its BrowserID in the Site Visitor Table, and leave the Referential Integrity set to
  "Some Records Match."
• D. Continue to use NULL as the BrowserID in the Site Visitor Table and leave the Referential Integrity set to "Some Records Match."

A client has several long-term shipping contracts with different vendors that set rates based on shipping volume and speed. The client requests a dashboard that allows them to model shipping costs for the next week based on the selected shipping vendor. Speed for the end user is critical.
Which dashboard building strategy will deliver the desired result?

• A. Use a calculated field that refers to a user-selected parameter to calculate shipping costs for each order and then display the aggregate values.
• B. Calculate the potential shipping cost for each order with each vendor, display the aggregate costs in a large table, and use quick filters to limit the options visible to the user.
• C. Recommend that the client model for only profitability for the next 24 hours instead of a full week.
• D. Aggregate the orders then use a calculated field that refers to a user-selected parameter to calculate the shipping costs.

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

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. Use filters, hide unused fields, and aggregate values.
• C. Split some visualizations on the dashboard into many smaller visualizations on the same dashboard.
• D. Restrict users from accessing the workbook to reduce server load.