Question 1

A Tableau Next Consultant is shadowing a client's business analyst who is building a new profitabilitydashboard in Tableau Next. The analyst knows exactly the business logic they need for a complex "Yearover- Year Weighted Margin" metric, but they are new to the platform and keep getting syntax errors whentrying to write the formula. How does generative AI in Tableau Next assist the analyst in this scenario?

Options :

A : By running a batch transform in the background to pre- calculate the metric

B : By allowing the user to describe the calculation in natural language to generate the formula

C : By creating a calculation field using the functions that matches and validates the criteria

Answer: B

Question 2

A financial services firm requires its Analytics Agent to consistently provide concise responses and format allcurrency outputs in Great British Pounds (GBP). Where should a Tableau Next Consultant configure theseglobal formatting and output style rules?

Options :

A : Einstein Trust Layer

B : Business Preferences

C : Semantic Model Field Description

Answer: B

Question 3

A Tableau Next Consultant is asked to configure row-level security (RLS) for sensitive HR data. Whereshould this be defined?

Options :

A : In the semantic model.

B : In the dashboard filters.

C : In the visualization properties.

Answer: A

Question 4

A Tableau Next Consultant wants to use size encoding to highlight the volume of sales for products on ascatter plot. However, once the consultant builds the chart, they realize that the marks are overlapping andhigh- volume selling products are obscuring lower volume products. What should the consultant do toimprove the visibility of the chart while highlighting differential sales volumes?

Options :

A : Use a dual axis chart and place the volume of sales on the secondary axis.

B : Adjust the minimum and maximum percentage of the cell the mark is allowed to occupy.

C : Increase the size of the visualization on the dashboard so that the marks are more separated spatially.

Answer: B

Question 5

Universal Containers is concerned about Personally Identifiable Information (PII) being exposed when usingData Connection and Analytics Creation capabilities to create calculated fields. How does Data Connectionand Analytics Creation ensure data security when processing requests through the large language model(LLM)?

Options :

A : It encrypts the entire semantic model and sends it to the LLM, decrypting it only after the calculated field suggestion is returned.

B : It uses the Einstein Trust Layer to mask PII before sending semantic model schema and metadata to the LLM.

C : It automatically rejects any fields identified as potentially containing PII so that they will not be accidentally exposed.

Answer: B

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