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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Establish Governance and Support Published Content | 16% | - Deploy and manage content lifecycle
|
| Topic 2: Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
| Topic 3: Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Topic 4: Plan and Prepare Data Connections | 22% | - Design row-level security (RLS) and advanced connections
|
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55. Frage
A Tableau Next Consultant has applied several filters to a dashboard and wants to share the link with a colleague so they see the exact same filtered view. However, the colleague reports that upon opening the link, the dashboard opens without any filters applied. What is the most likely cause of this behavior?
Antwort: B
Begründung:
The most likely cause is that the consultant used Copy Link in a way that shared the dashboard's default state rather than preserving the interactive filter state that was applied during analysis. A standard dashboard link can reopen the asset without carrying the sender's temporary filter and selection context, which explains why the colleague sees an unfiltered dashboard.
Option A is incorrect because dashboard views can be shared; the problem is the type of link or view state being shared, not a blanket prohibition on sharing filtered analysis. Option C is also incorrect because there is no separate permission category whose purpose is specifically to display filters contained in a shared dashboard view. The recipient still needs ordinary access to the dashboard and its underlying governed data, but permissions do not explain why the filters disappeared.
For exam purposes, remember the distinction between sharing the dashboard asset itself and sharing the user's current analytical state. When identical filter context matters, the consultant must use the mechanism that preserves that current view rather than a generic/default asset link.
References/Topics: Visualizations and Dashboards - > Dashboard Sharing - > Copy Link - > Filtered View State.
56. Frage
A Tableau Next Consultant faces a requirement calling for data pivots, aggregations, and calculations to the data before pulling it into a semantic data model (SDM). Which Data 360 feature should the consultant use to create a data object with these data adjustments?
Antwort: B
Begründung:
Batch Data Transforms are designed to perform repeatable data-shaping operations before downstream analytical consumption. Salesforce describes batch transforms as canvas-based processing flows capable of adding, manipulating, joining, aggregating, filtering, and applying formulas or other transformations to data before writing the resulting dataset to a target object.
This makes A the appropriate solution when the requirement involves multiple structural transformations- such as pivots, aggregations, and calculations-before the resulting dataset becomes part of a semantic model.
Identity Resolution solves a different problem: reconciling and matching records across data sources to build unified profiles. It does not provide the generalized transformation pipeline required here.
Calculated fields can create derived values, but they are insufficient when the preparation requirement involves broad reshaping and aggregation of the underlying dataset. The transformations should occur at the Data 360 data-preparation layer, after which the output object can be used by downstream analytics.
Batch transforms can write to supported DLO or DMO output nodes depending on the source and design, providing a persistent transformed object that semantic modeling and other Data 360 processes can consume.
References/Topics: Data Setup - > Data 360 - > Batch Data Transforms - > Aggregate, Join, Transform, and Output Nodes.
57. Frage
Cloud Kicks wants to track and analyze user dashboard interactions with its Tableau Next assets for governance and adoption monitoring. Which capability should a Tableau Next Consultant activate to begin collecting user interaction data?
Antwort: B
Begründung:
User Interaction Logging is the capability used to begin collecting interaction data for governance and adoption analysis. In this scenario, Cloud Kicks needs visibility into how users interact with Tableau Next dashboard assets so administrators can evaluate usage patterns, adoption, and engagement. Enabling interaction logging creates the foundation for capturing those user events and making them available for downstream monitoring and analysis.
Tableau Next Auditing is associated with broader administrative audit and governance use cases, while Session Tracing is oriented toward tracing agent sessions and AI behavior. Neither is the specific capability identified here for initiating dashboard interaction collection. The requirement is centered on user activity against Tableau Next assets rather than agent reasoning or session diagnostics.
A consultant should distinguish telemetry collection from downstream analysis. First, interaction events must be captured through User Interaction Logging; those events can then be analyzed to understand which assets are used, how users engage with dashboards, and where adoption or governance attention is required. This supports operational oversight without changing the analytical content itself.
References/Topics: Basic Setup and Admin - > Tableau Next User Interaction Logging - > Governance and Adoption Monitoring.
58. Frage
A Tableau Next Consultant is asked to configure Slack integration for proactive alerts. Which setup step is required?
Antwort: A
Begründung:
The administrator must enable Collaborate with Slack and Tableau Next, making A correct. Salesforce's documented setup requires connecting the Salesforce org to Slack and then navigating to Tableau Next Administration settings to confirm that Collaborate with Slack and Tableau Next is enabled.
For Inspector Proactive Data Alerts specifically, Salesforce states that Slack must first be enabled for Tableau Next. Users can then receive Inspector alerts through Slack after the Agentforce app and associated connection are configured.
Option B is not the documented prerequisite. Tableau Next relies on appropriate Tableau Next permissions plus Salesforce/Slack identity and connection configuration; assigning a generic "Slack User" permission set is not the required answer.
Option C is also inaccurate as written. A properly configured Analytics and Visualization agent must contain the relevant Data Analysis and Data Alert Management capabilities, but administrators do not necessarily need to create an entirely new agent solely because Slack is being enabled; an existing qualifying agent can be configured and activated.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next with Slack - > Inspector Alerts - > Collaboration Settings - > Agentforce App.
59. Frage
A Tableau Next Consultant is building a semantic model for a sales team. Although the "Profit Margin" field is defined, the Analytics Agent fails to surface it when users ask about "Earnings". Following best practice, how should the consultant resolve this within the semantic model?
Antwort: C
Begründung:
The semantic model should be enriched so the agent can associate the organization's business language
"Earnings" with the existing Profit Margin concept. Therefore, B is the correct answer. Semantic models provide the business-context layer that allows Tableau Agent to translate natural-language terminology into governed analytical definitions. Salesforce recommends clear, contextual names and descriptions and explicitly highlights synonyms as an important semantic consideration for agent readiness.
Salesforce's Tableau Semantics training also explains that synonyms broaden the agent's understanding of terminology used by business users, allowing alternate terms to map back to authoritative metrics and definitions.
Creating a duplicate metric merely to support another phrase introduces redundant semantic definitions and increases ambiguity. Salesforce specifically recommends eliminating redundant or overlapping calculated definitions rather than multiplying them. Changing aggregation from Average to Sum would alter mathematical behavior and does nothing to resolve a terminology-discovery problem.
References/Topics: Data Setup - > Create Semantic Models - > Design Semantic Models for AI Readiness -
> field descriptions, synonyms, ambiguity resolution.
60. Frage
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