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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Workspaces & Orgs | 10% | - Personal Org
|
| Topic 2: Basic Setup & Admin | 10% | - User Access
|
| Topic 3: Data Setup | 20% | - Semantic Models
|
| Topic 4: Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Topic 5: Embedding, Cross-Cloud, & Interoperability | 20% | - Developer Tools and APIs
|
| Topic 6: Agentic Experiences | 25% | - Generative AI
|
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NEW QUESTION # 26
A Tableau Next Consultant wants to use size encoding to highlight the volume of sales for products on a scatter plot. However, once the consultant builds the chart, they realize that the marks are overlapping and high- volume selling products are obscuring lower volume products. What should the consultant do to improve the visibility of the chart while highlighting differential sales volumes?
Answer: B
Explanation:
Tableau Next provides explicit controls for size encoding, including minimum and maximum mark-size limits. With relative size encoding, Minimum (% of cell) defines the smallest percentage of available cell space that a mark can occupy, while Maximum (% of cell) controls the largest. Adjusting these settings allows the author to retain sales-volume encoding while limiting oversized marks that obscure smaller ones.
Therefore, B directly addresses the visualization problem.
A dual axis changes the structural representation of the data rather than correcting excessive mark sizing and is unnecessary for this requirement. Increasing the physical dashboard container size might provide additional display space, but it does not directly control the relative size range of the marks and cannot reliably prevent high-value marks from dominating lower-value marks.
Tableau Next supports both Relative and Absolute size modes. Relative sizing is particularly useful when the visual objective is to emphasize differences across a continuous measure while maintaining visual readability.
The consultant should tune the minimum and maximum percentage parameters until the volume relationship remains perceptible without excessive overlap.
References/Topics: Visualizations and Dashboards - > Marks - > Size Encoding - > Relative Size - > Minimum and Maximum Percent of Cell.
NEW QUESTION # 27
A Tableau Next Consultant is asked to configure semantic models for sales and service data. What is the benefit of semantic models?
Answer: B
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 # 28
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 # 29
A Tableau Next Consultant has completed all the required Salesforce setup steps for Agentforce for Analytics in Slack. However, when the consultant tests it in Slack, they're not seeing the Agentforce icon on a Tableau Next metric card. The consultant confirms that the agent is built from the Analytics and Visualization template and uses the Data Analysis subagent. What is an additional criteria that must be met for the icon to appear?
Answer: A
Explanation:
The Analytics and Visualization Agent must be installed in Slack and enabled for the workspace. Creating the agent from the correct template and including the Data Analysis subagent is necessary, but those steps alone do not expose the conversational experience on Slack metric or dashboard cards.
Salesforce documents several criteria that Slack checks before displaying the Ask Agentforce for Analytics capability. The qualifying Analytics and Visualization agent must be installed and enabled in the Slack workspace, use the Data Analysis subagent, originate from the same Salesforce org as the shared Tableau Next asset, and be accessible to the user through the relevant agent permissions.
A Personal Org is not required; in fact, conversational analytics has specific Personal Org limitations. Nor must an administrator initiate Tableau Agent on behalf of ordinary users. Properly licensed and authorized users can invoke it themselves.
This question tests the distinction between configuring an agent inside Salesforce and actually making that agent available through an external collaboration surface such as Slack.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Integrate Analytics Across Platforms -
> Tableau Next in Slack - > Enable Tableau Agent in Slack.
NEW QUESTION # 30
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 # 31
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