Question 1

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 2

A team at Universal Containers collaborates frequently in Slack. The goal is to share a Tableau Next metricwithin a Slack canvas, ensuring it appears as a rich preview where the data regularly refreshes for each teammember. All team members have appropriately assigned licenses. Which procedure should a Tableau NextConsultant instruct a user to follow to achieve this?

Options :

A : Use the 'Share' button from Tableau Next to send a message directly to the Slack canvas.

B : Paste a link to the metric into the Slack canvas and select 'Card' from the 'Paste As' menu.

C : Take a snapshot image of the metric and upload it to the Slack canvas.

Answer: B

Question 3

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 4

Cloud Kicks has built a highly curated semantic data model (SDM) in Tableau Next containing all of itsbusiness rules, metric definitions, and generative AI field descriptions. However, another team of analystswant to use this exact same business logic to build custom visualizations in Tableau Cloud. What should theTableau Next Consultant recommend to this team?

Options :

A : Connect to the SDM directly from Tableau Cloud using the Tableau Semantics native connector.

B : They can connect to the Data 360 objects directly and rejoin them in the data model.

C : Export the semantic model as a data kit and deploy it to their Tableau Cloud instance.

Answer: A

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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