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| Section | Weight | Objectives |
|---|---|---|
| Basic Setup & Admin | 10% | - Access Management
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Cross-Platform Workflows
|
| Managing Workspaces & Orgs | 10% | - Asset Deployment
|
| Data Setup | 20% | - Semantic Models
|
| Agentic Experiences | 25% | - Generative AI
|
| Visualizations & Dashboards | 15% | - Dashboard Actions
|
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NEW QUESTION # 16
A Tableau Next Consultant needs to migrate a newly developed Tableau Next semantic model and its associated dashboards from a sandbox to the production environment. The two environments are part of the same Salesforce organization hierarchy. Which deployment method should the consultant use to natively move these assets?
Answer: A
NEW QUESTION # 17
A Tableau Next Consultant is advising a retail company that wants to track its monthly sales conversion rate against a fixed benchmark in Tableau Next. The metric is non- cumulative. Which feature should the consultant recommend configuring on the metric?
Answer: A
Explanation:
A threshold is the appropriate configuration because the requirement is to evaluate a non-cumulative metric against a fixed benchmark. Salesforce describes thresholds as contextual reference values that classify a metric into meaningful ranges such as healthy, at risk, or critical. Salesforce specifically notes that thresholds can be used independently of goals and are particularly useful for non-cumulative metrics.
A goal is better suited to measuring progress toward a target, particularly when progress accumulates over a defined time period. For example, a sales-revenue goal can indicate whether the organization is on pace to reach a quarterly target. By contrast, a conversion percentage is normally evaluated as a current rate rather than accumulated toward a total.
Forecasting Insights addresses a different analytical requirement: estimating likely future metric behavior from historical patterns. It does not establish the fixed performance benchmark required here.
For exam purposes, distinguish goal = progress toward target, threshold = contextual/static performance boundary, and forecast = projected future behavior.
References/Topics: Visualizations and Dashboards - > Metrics - > Goals and Thresholds - > Non- Cumulative Metrics.
NEW QUESTION # 18
A Tableau Next Consultant is demonstrating how Tableau Agent provides transparency for its responses. A user asks Tableau Agent a question and receives a response with a visualization. The user now needs to examine how the agent arrived at the response. Which action must the user take in Tableau Agent to see this information?
Answer: C
Explanation:
The user should select Sources. Tableau Agent's conversational analytics experience exposes a Sources control specifically to provide transparency into how a response was generated.
Salesforce documents that after Tableau Agent returns an analytical answer, users can select Sources to review details about how the agent analyzed the request, including the data sources and metrics used during the analysis. Salesforce also states that conversational analytics responses include information about the sources and reasoning used in the analysis, supporting traceability and user trust.
Option B concerns visualization configuration rather than agent reasoning and source grounding. Option C is not the documented Tableau Agent workflow for exposing reasoning provenance to end users.
This capability is important because Tableau Agent performs semantic queries against the underlying semantic model, synthesizes the returned data into a textual response, and generates a suitable visualization.
Sources helps users understand the analytical basis of that output rather than requiring them to accept an opaque AI-generated answer.
References/Topics: Agentic Experiences - > Tableau Agent - > Conversational Analytics - > Sources - > Response Transparency and Grounding.
NEW QUESTION # 19
A Tableau Next Consultant is asked to configure caching for a high-volume data source. Which refresh method ensures deleted records are reflected?
Answer: B
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 # 20
What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?
Answer: A
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 # 21
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