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| Section | Weight | Objectives |
|---|---|---|
| Basic Setup & Admin | 10% | - Agentic Analytics
|
| Data Setup | 20% | - Data Architecture
|
| Managing Workspaces & Orgs | 10% | - Asset Deployment
|
| Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Agentic Experiences | 25% | - Analytics Agent
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Developer Tools and APIs
|
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NEW QUESTION # 25
A Tableau Next Consultant has developed a dashboard using a single semantic model. The dashboard includes filters, metrics, and visualizations. The consultant wants to be able to make changes to their filters and selections in their visualizations that update the metrics. They are already able to filter visualizations between each other by clicking into the views and using the filters on the page. What does the consultant need to validate to have the desired functionality?
Answer: C
Explanation:
For a Tableau Next Metric widget to respond dynamically to dashboard filtering, two conditions must be satisfied. First, the metric widget must be configured to receive dashboard filters. Second, the dimensions being used by those dashboard filters must exist in the metric definition as supported dimensions. Salesforce specifically documents that a Metric widget can only be filtered by dimensions explicitly included in the metric definition, typically as Additional Dimensions.
Therefore, C is the only complete answer.
Option A fails because enabling dashboard-filter reception is not enough if the metric definition lacks the necessary dimensions. Tableau Next cannot apply a filter against a dimensional grain the metric does not expose. Option B has the required dimensions but explicitly disables receipt of dashboard filters, preventing the widget from responding to dashboard interactions.
This distinction is important because visualizations and metric widgets have different interaction requirements. A dashboard visualization can participate naturally in interactive filtering, whereas a governed metric must expose the appropriate dimensions in its semantic definition before those dashboard selections can alter the displayed metric result.
References/Topics: Visualizations and Dashboards - > Metric Widgets - > Receive Dashboard Filters - > Metric Additional Dimensions.
NEW QUESTION # 26
Cloud Kicks (CK) wants to scale out its semantic data tier but has limited Tableau Next Consultant resources.
CK wants to identify tasks where Tableau Agent's generative AI capabilities can directly accelerate the delivery of Tableau Next components. Which task can Tableau Agent directly perform within the semantic data model configuration canvas?
Answer: B
Explanation:
Generative AI capabilities in Tableau Semantics can directly accelerate semantic-model authoring by drafting calculated-field formulas and semantic descriptions, making A the correct choice. Salesforce supports Draft with Einstein, where the consultant describes the calculation in natural language and Einstein generates the calculated-field definition, including formula-related configuration that the author can review and save.
Salesforce also provides AI-generated semantic descriptions. These descriptions supply business context to downstream conversational analytics and help Tableau Agent correctly discover and interpret objects and fields.
Identity resolution and DMO mapping belong to Data 360 data-modeling and identity-management workflows, not the semantic-model generative-authoring capability described in this scenario. Dashboard and visualization construction is also a separate analytics-authoring process rather than the specified operation within the semantic data model configuration canvas.
The exam principle is that Tableau Agent/Semantics AI reduces semantic-authoring friction by translating natural-language analytical intent into semantic definitions, relationships, descriptions, and calculations.
References/Topics: Agentic Experiences - > generative AI for Tableau Next components; Create Semantic Models - > AI-assisted calculated fields and descriptions.
NEW QUESTION # 27
A Tableau Next Consultant is configuring a Salesforce action in a Tableau Next table visualization that displays Contact records. The goal is to give sales reps the ability to trigger a screen flow that adds selected Contacts to a Campaign. What is a required configuration step for the action to work correctly?
Answer: C
Explanation:
A Salesforce action executed from a Tableau Next visualization must know which Salesforce record the user is acting upon. Salesforce documentation therefore requires the consultant to select the appropriate record ID when configuring the action. The record ID is the primary identifier for the Salesforce object, and it must be available as part of the visualization. For Contact-based actions, this means mapping the Contact ID so that Tableau Next can invoke the action against the correct Contact record.
The multi-row selection setting in A is not the fundamental record-context requirement for a standard Salesforce action. Likewise, B is misleading. Users certainly require authorization to execute the underlying Salesforce action, but Tableau Next does not require the consultant to create a special Tableau-specific custom permission set merely to map the action.
Architecturally, Tableau Next integrates the analytical and transactional layers by associating visualization data with Salesforce object identifiers. Once a user selects the relevant data element, Tableau Next can pass the corresponding record identity into the configured Salesforce action.
References/Topics: Visualizations and Dashboards - > Add Actions to Visualizations - > Salesforce Actions -
> Record ID Mapping.
NEW QUESTION # 28
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: C
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 # 29
A Tableau Next Consultant has shared a workspace with a group of users and granted them Editor access at the workspace level. However, one of the users reports that they are still unable to edit a dashboard within that workspace. What is the most likely reason for this issue?
Answer: C
Explanation:
Tableau Next applies both asset-sharing permissions and platform permission sets. Granting Editor access through workspace sharing cannot elevate a user's capabilities beyond those granted by the administrator.
Salesforce explicitly states that sharing doesn't override permissions set by the admin and that a user who lacks the permission set required to edit Tableau Next assets cannot edit an asset even when granted Editor access.
Therefore, C is correct.
Workspace-level access is designed to simplify administration. Users and Analytics Groups can be granted Viewer or Editor access to a workspace, with appropriate access applying to contained assets subject to underlying security and permission requirements. Consequently, B is incorrect as a general explanation.
Option A is also incorrect. Workspace owners can share assets subject to their own permissions, but inability of the affected user to edit is not because dashboards universally require a separate owner-assigned Editor permission.
Think of Tableau Next authorization as multiple gates: license - > Tableau Next permission set - > asset sharing - > underlying data access. A more permissive setting at a downstream sharing layer cannot bypass a restrictive upstream administrative permission.
References/Topics: Managing Workspaces and Orgs - > Workspace Sharing - > Editor Access - > Tableau Next Permission Sets - > Permission Inheritance.
NEW QUESTION # 30
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