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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate Current State | 22% | - Evaluate current data structures
|
| Topic 2: Design and Troubleshoot Calculations and Workbooks | 40% | - Optimize workbook performance
|
| Topic 3: Plan and Prepare Data Connections | 22% | - Design row-level security (RLS) and advanced connections
|
| Topic 4: Establish Governance and Support Published Content | 16% | - Apply governance strategy
|
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NEW QUESTION # 10
A Tableau Next Consultant needs to migrate dashboards from a sandbox org to production. Which deployment mechanism should be used?
Answer: C
Explanation:
Data Kits are a native supported deployment mechanism for moving Tableau Next assets from a sandbox to a production Data 360 home org. Salesforce explicitly states that Tableau Next workspaces, visualizations, and dashboards can be deployed through Data Kits, and that Data 360 semantic models on which those analytical assets depend must also use Data Kits for deployment to target home orgs.
CSV export/import is a data-transfer technique, not a Tableau Next metadata lifecycle-management mechanism. It cannot preserve dashboard structure, visualization definitions, semantic-model dependencies, workspace metadata, or the relationships between these assets. Manual recreation would be operationally inefficient, prone to configuration drift, and unnecessary when supported deployment tooling exists.
A technically complete implementation must also account for dependency sequencing. When a Data Kit contains the semantic model and downstream Tableau Next content, Salesforce requires the publishing order to be at least Semantic Models - > Workspaces - > Visualizations - > Dashboards.
References/Topics: Managing Workspaces and Orgs - > Sandbox Development - > Data Kits - > Production Deployment - > Asset Dependencies.
NEW QUESTION # 11
A Tableau Next Consultant is asked to configure caching for a high-volume data source. Which refresh method ensures deleted records are reflected?
Answer: C
Explanation:
Full Refresh is required when the accelerated Tableau Next cache must reflect records that were deleted in the external source. Salesforce documentation distinguishes the two acceleration modes explicitly. An Incremental Refresh adds or updates records that changed after the previous refresh, but it does not update deleted records.
By contrast, a Full Refresh removes all previously cached data during each refresh cycle and replaces it with a newly retrieved copy of the current source dataset. If a source record has been deleted, it no longer exists in the replacement dataset and consequently disappears from Tableau Next.
Incremental refresh can operate as frequently as every 15 minutes, making it attractive for high-frequency changes, but that frequency does not alter its deletion limitation. If deletion synchronization is a requirement, the architecture must account for periodic or continuous full-refresh behavior according to supported refresh intervals.
"Snapshot refresh" is not one of the documented Tableau Next Acceleration refresh methods for this use case.
This is the same architectural principle tested earlier: Incremental = added/changed data; Full = complete cache replacement, including removal of deleted source records.
References/Topics: Data Setup - > Acceleration for Data Connections - > Cache Refresh Method - > Full versus Incremental Refresh.
NEW QUESTION # 12
A Tableau Next Consultant is asked to configure workspace access for sensitive dashboards. Which General Access setting ensures no one can see dashboards by default?
Answer: C
Explanation:
Restricted is the correct General Access state. Salesforce documents that newly created Tableau Next assets are restricted by default. When General Access remains restricted, only individual users or Analytics Groups that have been explicitly granted access can open the asset.
For sensitive dashboards, this provides the correct baseline because access is opt-in rather than org-wide. The owner can then grant specific users or groups Viewer access and, where supported at the workspace level, Editor access.
Salesforce also makes an important distinction between Tableau Next asset access and underlying data access.
Even if a dashboard is shared with a user, that action does not automatically grant permission to the DLOs, DMOs, or data spaces on which the dashboard depends. Data 360 governance still applies separately.
"Public" and "Shared" are not the documented General Access states that produce the required private-by- default behavior. Current Tableau Next access management uses Restricted as the state in which only explicitly shared users or groups can access an asset.
For sensitive content, the architecture should therefore use Restricted asset access + explicit user/group sharing + Data 360 governance.
References/Topics: Managing Workspaces and Orgs - > General Access - > Restricted - > Asset Sharing - > Data Governance.
NEW QUESTION # 13
What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?
Answer: C
Explanation:
Option A, Draft with Einstein, can generate a calculation from natural language, but the question specifically asks about the multi-turn conversational agent experience, where the agent interacts with the user and refines the requirement. Therefore it is not the best answer. Option B addresses optimization/readiness rather than calculated-field authoring.
References/Topics: Agentic Experiences - > Tableau Agent - > Semantic Modeling/Data Pro - > Conversational Calculated Fields - > Natural-Language Authoring.
NEW QUESTION # 14
A Tableau Next Consultant is configuring a Salesforce Flow action on a dashboard widget. The flow requires an input value based on what a user clicks on another dashboard widget. Which input mapping type should the consultant select?
Answer: A
Explanation:
The correct mapping is Dynamic Widget Field with a Selection interaction because the flow input must depend specifically on a value that the user selects in another dashboard widget. Salesforce distinguishes two dynamic interaction types when mapping dashboard data to Salesforce Flow inputs: Selection and Result. A Selection interaction passes the value resulting from the user's selection in a widget, whereas a Result interaction passes a value derived from the widget query results.
A Static String would supply the same manually configured value every time and therefore cannot satisfy a requirement in which the flow input changes according to what the user clicks.
Operationally, the consultant configures the Salesforce Flow action, identifies the required flow input, selects Dynamic Widget Field, chooses the source widget and field, and sets the interaction type to Selection. This creates an actionable analytical experience where a user's interaction with dashboard data can directly feed contextual values into a Salesforce business process.
References/Topics: Visualizations and Dashboards - > Analyze and Share Data - > Add Single-Click Actions to Your Data - > Salesforce Flow Actions.
NEW QUESTION # 15
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