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| Section | Weight | Objectives |
|---|---|---|
| Basic Setup & Admin | 10% | - Agentic Analytics
|
| Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Managing Workspaces & Orgs | 10% | - Asset Management and Sharing
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Cross-Platform Workflows
|
| Agentic Experiences | 25% | - Agentic Readiness
|
| Data Setup | 20% | - Semantic Models
|
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NEW QUESTION # 18
A financial services firm requires its Analytics Agent to consistently provide concise responses and format all currency outputs in Great British Pounds (GBP). Where should a Tableau Next Consultant configure these global formatting and output style rules?
Answer: A
Explanation:
Business Preferences are the semantic-model mechanism for supplying organization-specific instructions and contextual guidance to Tableau Agent. They can define how the analytics agent should interpret business concepts, terminology, and preferred response conventions. Salesforce recommends keeping each Business Preference short, focused, and high-value because these instructions are added to the agent's prompt.
Accordingly, preferences such as "Use GBP when presenting monetary values" or "Keep responses concise" belong in Business Preferences rather than individual field descriptions. A field description explains what a particular semantic field means; it is not the proper location for broadly applicable output behavior. The Einstein Trust Layer addresses AI trust, security, privacy, and governance controls rather than organization- specific response formatting.
References/Topics: Agentic Experiences - > Business Preferences - > Organizational Terminology - > Response Guidance - > Semantic Model Context.
NEW QUESTION # 19
During a discovery call, a client tells their Tableau Next Consultant that they love the idea of embedding the Analytics and Visualization Agent into an external portal, but that they have three dashboards on the same page: Sales Performance, Risk Exposure, and Regional Revenue. What is true about the agent's capabilities in this scenario?
Answer: C
Explanation:
The Tableau Next Analytics Embedding SDK supports an AnalyticsAgent component with both single- context and multi-component operating modes. In Multi-Component mode, the application omits the contextConfig property. The agent then automatically tracks the embedded AnalyticsDashboard and AnalyticsMetric components present on that page.
Therefore, B directly describes the intended architecture for a portal containing multiple analytical components.
Option A describes single-context mode, where contextConfig explicitly binds the agent to one dashboard, metric, or semantic model. That mode exists but is not a platform limitation. Option C introduces a same- semantic-model restriction that the current Embedding SDK documentation does not impose. The SDK explicitly describes automatic context tracking across embedded dashboard and metric components.
This capability is particularly important in embedded analytics because it allows conversational analytics to understand the broader analytical surface rather than forcing the external application to continually rebind the agent as users move between embedded components.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next Embedding SDK - > AnalyticsAgent - > Multi-Component Mode.
NEW QUESTION # 20
A Tableau Next Consultant is advising a customer on when to use Tableau Agent versus building a traditional Tableau Next dashboard. Which scenario is the best fit for Tableau Agent?
Answer: B
Explanation:
Tableau Agent is optimized for conversational, exploratory analytics in which a business user asks natural- language questions and receives grounded answers and visualizations. A request such as, "What are my top accounts by Annual Contract Value this quarter?" maps directly to Tableau Agent's supported descriptive- analysis capabilities. Salesforce explicitly lists Top-N questions, aggregations, dimensional breakdowns, comparisons, and other business-oriented analytical questions among the supported conversational patterns.
A fixed monthly-close report for a board is better represented by a governed dashboard or reporting asset because its structure, presentation, and recurring content are predetermined. Likewise, Tableau Agent is not positioned as a general-purpose data-science workflow development environment.
The architectural distinction is important for the exam: dashboards provide curated, repeatable analytical experiences, whereas Tableau Agent adds an interactive conversational layer over semantic models. It translates the user's business question into semantic analytical operations and returns contextual text and visual output.
References/Topics: Agentic Experiences - > Analyze and Share Data in Tableau Next - > About Conversational Analytics - > Supported Questions and Surfaces.
NEW QUESTION # 21
A Tableau Next Consultant is asked to configure proactive alerts for metrics. Which prerequisite must be met before alerts can be created?
Answer: B
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 # 22
A Tableau Next Consultant at Ursa Major Solar is creating a Tableau Next dashboard to monitor at- risk opportunities. The sales manager needs a way for sales reps to initiate follow- up tasks for specific opportunities directly from a dashboard widget. This action must trigger an existing Salesforce flow designed for task creation. Which action type should the consultant add to the widget to meet this requirement?
Answer: A
Explanation:
The consultant should configure a Salesforce Flow action on the dashboard widget. Tableau Next supports single-click dashboard actions that can directly initiate Salesforce Flows using dashboard context. Salesforce even documents a virtually identical use case: enabling sales representatives to create a follow-up task directly from a dashboard widget displaying at-risk opportunities.
When configuring the action, the consultant selects Salesforce Flow as the action type, chooses an eligible flow, and maps the flow's input variables to static or dynamic dashboard values. Tableau Next currently supports standard screen flows and autolaunched flows for this capability.
A parameter action is fundamentally an analytical interaction mechanism and is not the native mechanism for executing a Salesforce Flow. Option C refers generally to Salesforce actions on visualization records, but the scenario explicitly identifies a dashboard widget that must initiate an existing Salesforce Flow. The dedicated Flow action is therefore the precise implementation.
This capability illustrates Tableau Next's actionable-analytics design: the user moves directly from recognizing an analytical condition to initiating an operational Salesforce process without leaving the dashboard.
References/Topics: Visualizations and Dashboards - > Single-Click Actions - > Salesforce Flow Actions - > Dynamic Input Mapping.
NEW QUESTION # 23
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