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| Section | Weight | Objectives |
|---|---|---|
| Agentic Experiences | 25% | - Analytics Agent
|
| Managing Workspaces & Orgs | 10% | - Personal Org
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Salesforce Analytics Integration
|
| Data Setup | 20% | - Data Architecture and Processing
|
| Basic Setup & Admin | 10% | - Tableau Next Setup
|
| Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
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NEW QUESTION # 67
A Tableau Next Consultant is preparing a Tableau Next environment for analysts who need to create and share dashboard templates. The goal is to give analysts the ability to convert their dashboards into standardized templates. The consultant needs to enable the feature that allows this conversion. Which action must the consultant perform in Tableau Next Administration settings?
Answer: C
Explanation:
The consultant must enable Template Builder in Tableau Next Administration. Salesforce describes Template Builder as the functionality that allows users to convert existing Tableau Next dashboards into standardized, reusable templates that can subsequently be made available through the Tableau Next Marketplace.
The administrative workflow is explicit: navigate to Tableau Next - > Administration - > Settings - > General, and enable Template Builder. Once enabled, eligible dashboard authors can use the Generate Template action to transform a dashboard into a configurable template. They can then define supporting metadata, configuration steps, descriptions, and preview information.
Tableau Next Auditing has an entirely different function: it captures user-interaction activity for governance and monitoring. It does not enable dashboard templating. "Templated Data 360 Home Org Operations" is not the documented switch for converting dashboards into Tableau Next templates.
References/Topics: Basic Setup and Admin - > Administration Settings - > Template Builder - > Tableau Next Marketplace.
NEW QUESTION # 68
A Tableau Next Consultant wants to enable conversational analytics for marketing data stored in Snowflake.
What is required?
Answer: C
Explanation:
Tableau Agent's conversational analytics depends on an AI-ready Tableau semantic model, making A correct.
Salesforce positions Tableau Semantics as the governed business layer between connected Data 360 sources and analytical or AI consumption experiences. Semantic models define standardized measures, dimensions, relationships, calculations, metrics, terminology, and business context that Tableau Agent uses to interpret natural-language questions.
For Snowflake data, the consultant establishes an appropriate Data 360 connection-including supported zero- copy federation where appropriate-and exposes the required Snowflake data through Data 360. The consultant then builds and prepares a semantic model containing the marketing concepts that Tableau Agent must analyze. Salesforce's Tableau Agent implementation guidance explicitly requires determining the required data, connecting it through Data 360, and creating suitable semantic foundations before configuring conversational analytics.
CSV export is unnecessary and creates an avoidable duplicate dataset. Building dashboards directly in Snowflake also does not establish Tableau Agent's governed semantic context.
The architecture is therefore: Snowflake - > Data 360 connectivity - > Tableau Semantic Model - > Tableau Agent - > Conversational Analytics.
References/Topics: Data Setup - > Snowflake Integration - > Data 360 - > Tableau Semantics - > AI-Ready Semantic Models.
NEW QUESTION # 69
A Tableau Next Consultant is shadowing a client's business analyst who is building a new profitability dashboard in Tableau Next. The analyst knows exactly the business logic they need for a complex "Year- over- Year Weighted Margin" metric, but they are new to the platform and keep getting syntax errors when trying to write the formula. How does generative AI in Tableau Next assist the analyst in this scenario?
Answer: A
Explanation:
Tableau Next provides generative AI capabilities that translate a user's natural-language description of a calculation into a calculated-field formula. This directly addresses scenarios where an analyst understands the required business logic but lacks familiarity with Tableau Next formula syntax.
With Draft with Einstein, the user describes the calculation they need in natural language. Einstein can propose the field name, description, data type, aggregation type, and formula. The agentic calculated-field experience also supports conversational refinement, allowing the user to explain requirements and respond to clarification questions before reviewing the proposed field.
A batch transform, as described in A, is a data-preparation mechanism and is unrelated to helping an analyst overcome formula-authoring syntax problems. C is less accurate because the defining generative-AI capability being tested is the transformation of natural-language analytical intent into a proposed formula.
The generated output remains subject to user review before creation, preserving human control over the final semantic definition while substantially reducing formula-authoring friction.
References/Topics: Agentic Experiences - > Generative AI - > Draft with Einstein/Data Pro - > Natural- Language Calculated Fields.
NEW QUESTION # 70
A Tableau Next Consultant is asked to configure proactive alerts for metrics. Which prerequisite must be met before alerts can be created?
Answer: A
Explanation:
Inspector Proactive Data Alerts operate against Tableau Next metrics, and Tableau Next metrics are semantic definitions created within the Tableau Semantics layer. Salesforce describes a metric as a governed business KPI derived from measures in a semantic model. Metrics can then support exploration, goals, thresholds, and Inspector alerts.
Therefore, B represents the architectural prerequisite among the supplied options. An alert must have a valid metric whose governed definition provides the measure, aggregation, temporal context, and other analytical semantics Inspector evaluates.
A user does not need to embed the metric in a dashboard. Salesforce's documented alert workflow starts from the Tableau Next metric page, where the user opens Tableau Agent and asks it to create an alert against that metric.
Option A is also not the fundamental prerequisite described by architecture. Although alert-management experiences can be reached through metric-related surfaces, the key technical dependency is the existence of the metric itself.
Current configuration also requires Tableau Agent/Data Analysis and Inspector Proactive Alerts to be enabled administratively. These are environment-level prerequisites, but they are not among the answer choices.
References/Topics: Agentic Experiences - > Inspector Proactive Data Alerts - > Metrics - > Semantic Models - > Data Analysis.
NEW QUESTION # 71
Sales managers at Universal Containers (UC) want to receive proactive data alerts for their Tableau Next metrics directly within their Slack channels. UC has already enabled the Proactive Alert setting and Agentforce for Analytics in the Salesforce org. Which additional prerequisite must be met for users to receive these alerts in Slack?
Answer: C
Explanation:
The additional requirement is to enable Slack for Tableau Next, represented by option B's Collaboration with Slack and Tableau Next setting. Salesforce's current administrative workflow requires Salesforce and Slack to be connected and the Collaborate with Slack and Tableau Next option enabled in Tableau Next Administration.
For proactive alerts specifically, Salesforce states that an administrator must enable Slack for Tableau Next and configure Agentforce in Slack. Once properly configured, Inspector Proactive Data Alerts can deliver notifications into Tableau Next and Slack when a user-defined metric condition is satisfied.
Assigning a generic "Slack User" permission set is not the documented Tableau Next prerequisite in this scenario. Users instead require an eligible Tableau Next permission set and access to the relevant asset.
Likewise, a separate analytics agent created specifically for Slack is not required merely to receive Inspector alerts.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Slack Integration - > Inspector Proactive Data Alerts - > Collaborate with Slack and Tableau Next.
NEW QUESTION # 72
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