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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualizations & Dashboards | 15% | - Dashboard Actions
|
| Topic 2: Managing Workspaces & Orgs | 10% | - Personal Org
|
| Topic 3: Agentic Experiences | 25% | - Generative AI
|
| Topic 4: Data Setup | 20% | - Semantic Models
|
| Topic 5: Basic Setup & Admin | 10% | - Tableau Next Setup
|
| Topic 6: Embedding, Cross-Cloud, & Interoperability | 20% | - Salesforce Analytics Integration
|
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NEW QUESTION # 11
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 # 12
A Tableau Next Consultant is asked to configure semantic models for sales and service data. What is the benefit of semantic models?
Answer: C
Explanation:
The fundamental purpose of Tableau Semantics is to establish consistent, governed business definitions that can be reused across analytical and AI experiences. Salesforce describes semantic models as the place where organizations define and govern business metrics, relationships, dimensions, calculations, and familiar business terminology.
This means sales and service teams can use the same authoritative definitions rather than implementing independent calculations within each dashboard. For example, concepts such as Annual Recurring Revenue, Case Resolution Time, Customer Lifetime Value, or Gross Margin can be defined centrally and then reused across dashboards, metrics, Tableau Agent conversations, and other Data 360-powered experiences.
Option B is far too narrow. Semantic models can support efficient query generation, but their primary benefit is not merely dashboard rendering performance.
Option C is also incorrect. Tableau Next inherits RLS and other governance controls from Data 360 security policies; a semantic model does not automatically create record-level security simply by existing.
The exam principle is: Tableau Semantics = reusable, centrally governed meaning, ensuring humans, dashboards, metrics, and AI reason from the same business definitions.
References/Topics: Data Setup - > Tableau Semantics - > Semantic Models - > Single Source of Truth - > Standardized Business Logic.
NEW QUESTION # 13
A Tableau Next Consultant receives a request from a business user to help troubleshoot an issue with setting data alerts using Tableau Agent. The consultant verifies that the business user has been granted a Tableau Next Consumer license and is accessing Tableau Agent from a page with Tableau Next on it. Which reason explains why the business user is unable to set the alert?
Answer: C
Explanation:
The limiting factor in this scenario is the user's license level. Setting proactive data alerts through Tableau Agent is an authoring-oriented capability that requires Tableau Next Creator access. A Consumer user can view and interact with published analytical content, but the Consumer persona does not receive the full set of creation and configuration capabilities needed to define alert conditions.
The fallback semantic model in option B is used when Tableau Agent lacks clear analytical context, such as when a user invokes the agent from a surface that does not already identify the relevant Tableau Next asset.
Here, the user is explicitly accessing Tableau Agent from a page that contains Tableau Next content, so lack of fallback scoping is not the primary issue. Option A can prevent analysis of a particular metric, but the question establishes a broader inability to set the alert and emphasizes that the user has a Consumer license.
The appropriate remediation is therefore to use the Creator-level entitlement for users who must configure proactive alerts. This preserves the distinction between consumption permissions and analytical creation
/configuration permissions.
References/Topics: Agentic Experiences - > Tableau Agent - > Proactive Data Alerts - > Creator Permissions.
NEW QUESTION # 14
Before launching a dashboard in Tableau Next, a Tableau Next Consultant gives the appropriate team View access to the dashboard's workspace. Which other access consideration should the consultant verify before rolling this dashboard out to end users?
Answer: B
Explanation:
Tableau Next asset sharing and Data 360 data access are separate layers. Granting users Viewer access to a workspace can provide inherited access to its dashboards, visualizations, and semantic models, but it does not automatically grant access to the underlying Data 360 data. Salesforce explicitly states that access to a semantic model requires access to the data space containing the model as well as access to the objects and fields used by that model.
Therefore, C is correct.
End users do not require Edit access to underlying Data 360 objects merely to view dashboard data, making A unnecessarily privileged. Similarly, B is incorrect because Consumer-level permission sets can view Tableau Next assets; Platform Analyst or Self-Service Analyst permissions are not universally required for dashboard consumption.
The architecture can be understood as three layers: license/permission access, Tableau Next asset sharing, and Data 360 data visibility/governance. Successful dashboard rollout requires all applicable layers to authorize the user. Sharing alone cannot override an administrator's data-space, DMO, DLO, field, or policy restrictions.
References/Topics: Managing Workspaces and Orgs - > Asset Sharing - > Data Spaces - > Data 360 Governance - > Semantic Model Access.
NEW QUESTION # 15
A Tableau Next Consultant is receiving complaints from end users about slow dashboard load times for a frequently used dashboard. The consultant is looking for an initial short- term solution before looking into longer term architectural changes. Which action should the consultant take to improve load times?
Answer: C
Explanation:
Enable Query Cache is the appropriate short-term performance optimization for a frequently accessed Tableau Next dashboard. Query caching reduces repeated execution of expensive live analytical queries by temporarily reusing previously calculated query results.
Salesforce specifically positions dashboard query caching as a mechanism to accelerate page load times for frequently visited dashboards. Current Tableau Next functionality can store and reuse query results for up to approximately 30 minutes, thereby reducing system overhead and improving the end-user experience.
This is precisely appropriate when the consultant wants a rapid tactical improvement before investigating deeper issues such as semantic-model complexity, source performance, query design, data architecture, or excessive dashboard density.
Disabling Reflow concerns dashboard layout behavior and responsive presentation rather than query- processing latency. Turning off Tableau Agent likewise does not address the underlying query execution performed to render dashboard widgets.
Caching does involve a freshness tradeoff because viewers may temporarily receive cached rather than newly executed query results. For dashboards requiring immediately current information, live mode may still be necessary. The consultant should therefore treat caching as a deliberate performance-versus-freshness decision.
References/Topics: Visualizations and Dashboards - > Dashboard Performance - > Query Cache - > Cached Data Mode.
NEW QUESTION # 16
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