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| Section | Weight | Objectives |
|---|---|---|
| Data Setup | 20% | - Data Architecture and Processing
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Tableau Next Apps and Marketplace
|
| Visualizations & Dashboards | 15% | - Dashboard Actions
|
| Basic Setup & Admin | 10% | - Tableau Next Setup
|
| Managing Workspaces & Orgs | 10% | - Personal Org
|
| Agentic Experiences | 25% | - Analytics Agent
|
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NEW QUESTION # 62
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: C
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 # 63
A business analyst wants to quickly explore relationships between variables in Tableau Next without building a full dashboard. Which feature should they use?
Answer: C
Explanation:
The Insights tab is the appropriate feature when an analyst wants to investigate relationships and patterns quickly without first constructing a complete dashboard. It provides an exploratory surface for examining analytical behavior, discovering notable patterns, and moving from a metric or measure into deeper investigation with less authoring overhead than a full dashboard workflow.
Dashboard templates are intended to standardize and accelerate dashboard creation. They are useful when a reusable dashboard structure is required, but they still relate to dashboard authoring rather than lightweight exploration. Data Kits serve a completely different lifecycle purpose: they package and deploy supported Tableau Next and Data 360 assets between environments.
The key distinction is therefore exploration versus construction and deployment. When the business question is still being investigated, the analyst should use Insights to understand relationships first. A dashboard can be created later when the analysis needs a curated, repeatable presentation for a broader audience.
References/Topics: Visualizations and Dashboards - > Insights - > Exploratory Analysis - > Metrics and Relationships.
NEW QUESTION # 64
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: B
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 # 65
The client wants AI-generated insights about Gross Margin % in Tableau Next. Where is the best place to define this context for the agent?
Answer: B
NEW QUESTION # 66
An Agentforce Sales customer approaches a Tableau Next Consultant asking for analytics on pipeline health and rep performance. They have no existing analytics investment, want minimal setup time, and have no plans to build custom dashboards. What should the consultant recommend to meet this requirement?
Answer: B
Explanation:
The Tableau Next Sales Insights app is specifically designed to provide preconfigured sales analytics covering areas such as sales performance, pipeline health, and related operational sales measures. Salesforce describes Sales Insights as a packaged, data-driven sales solution that combines Tableau Next dashboards and analytics with Salesforce customer and sales data. It is intended to accelerate deployment rather than requiring organizations to design an analytics architecture from the ground up.
That positioning matches every constraint in the scenario: the organization already uses Agentforce Sales, has no existing analytics investment, wants minimal implementation effort, and does not intend to develop custom dashboards.
A custom Lightning Web Component would increase development, testing, governance, and maintenance effort. Full Tableau Next Creator licenses would give users broader authoring functionality than the stated requirement demands and would still leave the organization responsible for creating the analytical content itself.
Sales Insights also includes packaged semantic models, data objects, metrics, and dashboards, which substantially reduces the configuration burden compared with a greenfield Tableau Next implementation.
References/Topics: Basic Setup and Admin - > Tableau Next Sales Insights - > Packaged Analytics - > Agentforce Sales Integration.
NEW QUESTION # 67
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