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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic Experiences | 25% | - Analytics Agent
|
| Topic 2: Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Topic 3: Embedding, Cross-Cloud, & Interoperability | 20% | - Salesforce Analytics Integration
|
| Topic 4: Basic Setup & Admin | 10% | - Tableau Next Activation and Management
|
| Topic 5: Data Setup | 20% | - Semantic Models
|
| Topic 6: Managing Workspaces & Orgs | 10% | - Asset Deployment
|
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NEW QUESTION # 79
How should a Tableau Next Consultant handle unjoined data objects to ensure an agent can confidently interpret the semantic data model and avoid generating invalid responses?
Answer: C
Explanation:
The semantic model should form a single coherent connected cluster whenever the objects are intended to participate in the same analytical domain. Therefore, the consultant should establish valid relationships for the disconnected objects or remove them from the model when they do not belong.
Salesforce's current AI-readiness guidance explicitly warns about island tables and isolated objects.
Disconnected objects can confuse both users and Tableau Agent because a query can imply relationships that the model has not defined. Salesforce recommends ensuring that all relevant objects are part of a single connected cluster and avoiding ambiguous or unjoined objects that could cause invalid agent responses.
Leaving objects isolated, as proposed by A, therefore preserves the exact modeling condition that decreases agent confidence. Option B is also architecturally incorrect. Business Preferences provide business terminology and interpretation guidance; they are not a substitute for structural relationships between data objects.
This principle is especially important for Tableau Agent because its semantic query generation relies on the relationship graph to determine valid navigation paths between dimensions and measures. A connected, unambiguous model substantially reduces unsupported joins and misleading answers.
References/Topics: Data Setup - > Semantic Model AI Readiness - > Connected Model Structure - > Relationships - > Remove Ambiguous Objects.
NEW QUESTION # 80
A Tableau Next Consultant is asked to configure proactive alerts for executives. Which delivery channels are supported?
Answer: A
Explanation:
Tableau Next proactive alerts support delivery through Slack and Email, making option A the correct choice.
The purpose of proactive alerting is to notify users when an important metric condition is met without requiring them to continually open dashboards and check the metric manually. Supporting collaboration and messaging channels allows the alert to reach executives in the tools they already monitor.
SMS-only delivery is not the supported model described here, and Microsoft Teams is not the exclusive proactive-alert channel. The alerting workflow is tied to Tableau Next metrics and the configured notification integrations. Once the metric, alert condition, and delivery configuration are in place, users can receive timely notification when the monitored value crosses the defined condition.
From an implementation perspective, consultants should confirm that the required alerting capability is enabled, that users can access the metric, and that the organization's Slack and email notification configuration is available. The analytical rule remains defined against the governed metric, while the selected channel determines how the resulting notification reaches the user.
References/Topics: Agentic Experiences - > Proactive Data Alerts - > Slack and Email Delivery.
NEW QUESTION # 81
A Tableau Next Consultant wants to enable conversational analytics for marketing data stored in Snowflake.
What is required?
Answer: C
Explanation:
Tableau Agent's conversational analytics depends on an AI-ready Tableau semantic model, making A correct.
Salesforce positions Tableau Semantics as the governed business layer between connected Data 360 sources and analytical or AI consumption experiences. Semantic models define standardized measures, dimensions, relationships, calculations, metrics, terminology, and business context that Tableau Agent uses to interpret natural-language questions.
For Snowflake data, the consultant establishes an appropriate Data 360 connection-including supported zero- copy federation where appropriate-and exposes the required Snowflake data through Data 360. The consultant then builds and prepares a semantic model containing the marketing concepts that Tableau Agent must analyze. Salesforce's Tableau Agent implementation guidance explicitly requires determining the required data, connecting it through Data 360, and creating suitable semantic foundations before configuring conversational analytics.
CSV export is unnecessary and creates an avoidable duplicate dataset. Building dashboards directly in Snowflake also does not establish Tableau Agent's governed semantic context.
The architecture is therefore: Snowflake - > Data 360 connectivity - > Tableau Semantic Model - > Tableau Agent - > Conversational Analytics.
References/Topics: Data Setup - > Snowflake Integration - > Data 360 - > Tableau Semantics - > AI-Ready Semantic Models.
NEW QUESTION # 82
What is a logical view within a semantic data model?
Answer: B
Explanation:
A Logical View is a semantic data object that combines underlying objects through explicitly configured joins or unions and presents the resulting structure as a single analytical object. Of the choices provided, A correctly captures this concept: the view contains participating objects whose join structure and relationship characteristics must be defined.
Salesforce's current glossary defines a Logical View as a data object that combines multiple tables using special joins and then allows that enriched dataset to be queried as one object. It can subsequently participate in calculated fields, metrics, semantic relationships, and other definitions.
Proper cardinality is important because Tableau Semantics must know whether objects relate one-to-one, one- to-many, many-to-one, or many-to-many to prevent duplicate aggregation or missing results. Salesforce provides explicit cardinality configuration for semantic relationships.
Option B confuses a Logical View with ordinary semantic relationships inherited or defined among data objects. Option C describes neither the structure nor purpose of Logical Views.
The critical exam distinction is relationships preserve separate objects, while a Logical View combines objects into a single logical analytical structure.
References/Topics: Data Setup - > Tableau Semantics - > Logical Views - > Joins - > Cardinality.
NEW QUESTION # 83
A Tableau Next Consultant has developed a semantic model and downstream assets using the Published Data Source (PDS) connector from Tableau Cloud. Their test end user has the correct permissions and access to the workspace, semantic model, and assets, but is unable to see anything when they open the assets in Tableau Next. What is a potential reason for the lack of visibility?
Answer: A
Explanation:
A semantic model created from a Tableau Cloud Published Data Source remains directly connected to the PDS. Salesforce states that the PDS acts as the external data definition and query source, and the integration does not create a corresponding Data 360 data object. Queries remain federated through the PDS connection.
For users configured in Tableau Cloud, Salesforce further states that record-level security and data access are inherited from the PDS. Consequently, a Tableau Next user can have access to the Tableau Next workspace, semantic model, dashboard, and visualization but still receive no usable data if their Tableau Cloud identity lacks access to the underlying Published Data Source.
Option B is incorrect because a PDS is a direct external connection and isn't represented as a DLO in Data
360. Option C is inconsistent with the scenario because the user already has the required Tableau Next asset permissions and access; moreover, the actual PDS authorization boundary remains relevant independently.
This question tests an important cross-platform rule: Tableau Next asset sharing does not override access controls enforced by the connected Tableau Cloud PDS.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Published Data Sources - > Tableau Cloud Trust - > PDS Authentication and Governance.
NEW QUESTION # 84
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