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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
| Topic 2: Establish Governance and Support Published Content | 16% | - Apply governance strategy
|
| Topic 3: Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Topic 4: Plan and Prepare Data Connections | 22% | - Plan for data transformation
|
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NEW QUESTION # 77
A Tableau Next Consultant is asked to configure workspace deployment. What is the correct sequence?
Answer: A
Explanation:
The correct deployment sequence in this question is **Semantic Models # Workspace # Dashboards # Visualizations**. The semantic model is deployed first because it provides the governed analytical definitions and data context required by downstream Tableau Next assets. The workspace follows because it establishes the organizational container in which the analytical content is managed and shared.
Dashboards are then deployed as the higher-level presentation assets, followed by the associated visualizations according to the sequence specified in the supplied deployment model. Maintaining the prescribed order prevents deployment from starting with downstream assets before their required semantic and organizational foundations are available.
Options B and C begin with assets that depend on components appearing later in their sequences, so they do not follow the required dependency progression. For certification purposes, memorize the sequence exactly as presented: **Semantic Models first, then Workspace, then Dashboards, then Visualizations**. Deployment planning should also include the relevant access and governance configuration so users can open the migrated assets successfully after publication.
References/Topics: Managing Workspaces and Orgs - > Workspace Deployment - > Publishing Sequence.
NEW QUESTION # 78
Universal Containers is concerned about Personally Identifiable Information (PII) being exposed when using Data Connection and Analytics Creation capabilities to create calculated fields. How does Data Connection and Analytics Creation ensure data security when processing requests through the large language model (LLM)?
Answer: C
Explanation:
The correct security mechanism is the Einstein Trust Layer's PII masking capability. Salesforce guidance for AI-assisted calculated-field creation states that the agent may use information from the semantic model, including its schema and metadata, and that personally identifiable information is masked by the Einstein Trust Layer before information is sent to the LLM.
This allows Tableau Next's generative functionality to receive the semantic context required to construct useful calculated fields while applying Salesforce's enterprise AI security controls.
Option A describes a whole-model encryption/decryption workflow that is not the documented Tableau Next processing model. Option C is also incorrect because the system does not simply prohibit every field that could potentially contain PII. Instead, the Trust Layer applies masking and other controls to protect sensitive information while retaining useful analytical context.
More broadly, Salesforce states that Tableau Agent and Agentforce inherit the Einstein Trust Layer's security, governance, and trust mechanisms, including protections designed to prevent customer data from being retained by external LLMs for model training.
References/Topics: Agentic Experiences - > Einstein Trust Layer - > PII Masking - > Generative AI Calculated Fields.
NEW QUESTION # 79
A new analyst at Coral Cloud Resorts is responsible for the complete setup of Tableau Next. This includes configuring the platform, managing all users, and overseeing all workspaces and assets. Which permission set must a Tableau Next Consultant assign to the analyst?
Answer: A
Explanation:
Tableau Unmetered Admin is the correct permission set because the user needs full Tableau Next administrative capability rather than analytical authoring alone. Salesforce states that Tableau Unmetered Admin permits access to Tableau Next Setup and edit capabilities across Tableau Next features in the production environment. Administrative users can configure the product and provision users with appropriate Tableau Next permission sets.
Salesforce specifically requires Tableau Unmetered Admin or Tableau Next Admin to access Tableau Next Administration and enable Tableau Next. When Tableau Next is enabled, the administrator also receives the associated Data Cloud Architect capabilities required for underlying Data 360 configuration.
The Platform Analyst role is intended primarily for creating, managing, and sharing governed Tableau Next analytical assets. It does not represent the full administrative persona required to configure Tableau Next and manage users. Self-Service Analyst focuses primarily on Personal Org and self-service analytical workflows and is even further removed from the stated administration requirement.
This question follows least-privilege role design: administrative tasks require the Admin persona; content creation alone generally requires an Analyst persona.
References/Topics: Basic Setup and Admin - > Tableau Next Permission Sets - > Tableau Unmetered Admin
- > User Management - > Tableau Next Setup.
NEW QUESTION # 80
Cloud Kicks (CK) wants to scale out its semantic data tier but has limited Tableau Next Consultant resources.
CK wants to identify tasks where Tableau Agent's generative AI capabilities can directly accelerate the delivery of Tableau Next components. Which task can Tableau Agent directly perform within the semantic data model configuration canvas?
Answer: B
Explanation:
Generative AI capabilities in Tableau Semantics can directly accelerate semantic-model authoring by drafting calculated-field formulas and semantic descriptions, making A the correct choice. Salesforce supports Draft with Einstein, where the consultant describes the calculation in natural language and Einstein generates the calculated-field definition, including formula-related configuration that the author can review and save.
Salesforce also provides AI-generated semantic descriptions. These descriptions supply business context to downstream conversational analytics and help Tableau Agent correctly discover and interpret objects and fields.
Identity resolution and DMO mapping belong to Data 360 data-modeling and identity-management workflows, not the semantic-model generative-authoring capability described in this scenario. Dashboard and visualization construction is also a separate analytics-authoring process rather than the specified operation within the semantic data model configuration canvas.
The exam principle is that Tableau Agent/Semantics AI reduces semantic-authoring friction by translating natural-language analytical intent into semantic definitions, relationships, descriptions, and calculations.
References/Topics: Agentic Experiences - > generative AI for Tableau Next components; Create Semantic Models - > AI-assisted calculated fields and descriptions.
NEW QUESTION # 81
Universal Containers wants to allow sales reps to ask natural language questions about their pipeline directly from Salesforce mobile. Which configuration is required?
Answer: B
Explanation:
The correct requirement is to enable the conversational analytics capability represented by Agentforce for Analytics, now called Tableau Agent. Salesforce explicitly lists the Salesforce Mobile app as a supported surface for Tableau Agent with the Data Analysis subagent. Users can ask natural-language analytical questions within Salesforce and receive grounded answers and visualizations based on their semantic models.
The terminology in option A is older but still maps directly to the current capability. Salesforce states that, beginning in July 2026, Agentforce for Analytics in Tableau Next is called Tableau Agent, while Concierge:
Analytics Q & A became the conversational analytics capability enabled by Data Analysis.
No custom Lightning component is required merely to expose this supported conversational experience on Salesforce mobile. Likewise, deploying traditional dashboards to mobile would enable dashboard consumption but would not itself provide the requested natural-language Q & A experience.
References/Topics: Agentic Experiences - > Tableau Agent - > Data Analysis - > Salesforce Mobile - > Conversational Analytics.
NEW QUESTION # 82
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