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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic Experiences | 25% | - Generative AI
|
| Topic 2: Managing Workspaces & Orgs | 10% | - Asset Deployment
|
| Topic 3: Basic Setup & Admin | 10% | - Tableau Next Activation and Management
|
| Topic 4: Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Topic 5: Data Setup | 20% | - Data Architecture
|
| Topic 6: Embedding, Cross-Cloud, & Interoperability | 20% | - Tableau Next Apps and Marketplace
|
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NEW QUESTION # 13
A Tableau Next Consultant is preparing a Tableau Next environment for analysts who need to create and share dashboard templates. The goal is to give analysts the ability to convert their dashboards into standardized templates. The consultant needs to enable the feature that allows this conversion. Which action must the consultant perform in Tableau Next Administration settings?
Answer: B
Explanation:
The consultant must enable Template Builder in Tableau Next Administration. Salesforce describes Template Builder as the functionality that allows users to convert existing Tableau Next dashboards into standardized, reusable templates that can subsequently be made available through the Tableau Next Marketplace.
The administrative workflow is explicit: navigate to Tableau Next - > Administration - > Settings - > General, and enable Template Builder. Once enabled, eligible dashboard authors can use the Generate Template action to transform a dashboard into a configurable template. They can then define supporting metadata, configuration steps, descriptions, and preview information.
Tableau Next Auditing has an entirely different function: it captures user-interaction activity for governance and monitoring. It does not enable dashboard templating. "Templated Data 360 Home Org Operations" is not the documented switch for converting dashboards into Tableau Next templates.
References/Topics: Basic Setup and Admin - > Administration Settings - > Template Builder - > Tableau Next Marketplace.
NEW QUESTION # 14
A Tableau Next Consultant is asked to configure proactive alerts for executives. Which delivery channels are supported?
Answer: B
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 # 15
A Tableau Next Consultant has enabled Acceleration for a connected data source, which is configured to refresh data as frequently as every 15 minutes. However, records that have been deleted from the source system are still appearing in Tableau Next 30 minutes later. What is the most likely reason for this behavior?
Answer: B
Explanation:
When Acceleration for Data Connections is enabled, Tableau Next temporarily caches external-source data in Data 360 to reduce runtime latency and improve query performance. Two refresh approaches are available:
Full Refresh and Incremental Refresh. Salesforce explicitly states that an incremental refresh processes records that have been added or changed since the previous refresh but does not update deleted data.
Therefore, records removed from the source can remain present in the accelerated cache even after several incremental refresh cycles.
This explains why the 15-minute frequency does not solve the issue. Frequency controls how often incremental processing occurs; it does not change what the incremental algorithm processes. Option A incorrectly attributes the behavior to ordinary cache latency. Option C is also too broad because acceleration itself supports deletion synchronization when a Full Refresh is used. A full refresh removes the existing cached dataset and replaces it with the current source dataset.
References/Topics: Data Setup - > Data Connections - > Acceleration - > Full versus Incremental Refresh -
> Cache Refresh Method.
NEW QUESTION # 16
A mature Tableau customer wants to use the Analytics Agent in Tableau Next. However, they have heavily invested in complex data models and calculations within Tableau Cloud Published Data Sources (PDSs) and refuse to rebuild this logic from scratch in Data 360. How should a Tableau Next Consultant meet this requirement using native interoperability?
Answer: A
Explanation:
Tableau Next provides native interoperability with Tableau Cloud Published Data Sources (PDSs). Salesforce allows a consultant to create a Data 360 semantic model by connecting directly to an existing PDS after establishing the required trust between the Salesforce org and Tableau Cloud site.
The PDS remains the external data definition and query source. Tableau Next inherits fields such as their names and data types, and the semantic model can then be enriched with calculated fields, metrics, descriptions, and business context. Critically, Salesforce states that this approach allows organizations to use existing Tableau content without data or metadata migration.
That precisely addresses the customer's concern about preserving substantial prior investment in Tableau Cloud modeling and calculations.
Options A and B introduce mechanisms that are not the native Tableau Next interoperability pattern documented for PDS reuse. There is no requirement to translate the PDS into Snowflake SQL or convert it into a CRM Analytics recipe.
This architecture enables Tableau Next to extend rather than replace mature Tableau investments, while exposing existing governed analytical logic to Tableau Agent.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Cloud PDS - > Tableau Semantics - > Create Semantic Model from Published Data Source.
NEW QUESTION # 17
A Tableau Next Consultant is asked to configure row-level security (RLS) for sensitive HR data. Where should this be defined?
Answer: B
Explanation:
Row-level security for this scenario should be defined in the semantic model so the governed analytical layer determines which records each user is allowed to retrieve. By applying RLS at the semantic-model level, the access rule travels with the analytical definitions used by metrics, visualizations, dashboards, and agentic experiences instead of depending on a particular dashboard layout.
Dashboard filters and visualization properties are presentation controls. They can alter what appears on a given screen, but they are not an appropriate substitute for a security rule because a user could potentially access the same underlying semantic content through another approved analytical surface. The restriction therefore belongs in the model that governs how analytical queries resolve against the sensitive HR dataset.
For an HR scenario, the RLS rule can be based on attributes such as employee, manager, department, region, or another authorized access dimension. The objective is to ensure that every downstream analytical experience receives only the rows permitted for the signed-in user. This centralizes security behavior and reduces the risk of inconsistent filtering across dashboards.
References/Topics: Data Setup - > Semantic Models - > Row-Level Security - > Governed HR Data.
NEW QUESTION # 18
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