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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Workspaces & Orgs | 10% | - Personal Org
|
| Topic 2: Embedding, Cross-Cloud, & Interoperability | 20% | - Tableau Next Apps and Marketplace
|
| Topic 3: Data Setup | 20% | - Data Architecture
|
| Topic 4: Agentic Experiences | 25% | - Generative AI
|
| Topic 5: Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Topic 6: Basic Setup & Admin | 10% | - Tableau Next Activation and Management
|
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41. Frage
A Tableau Next Consultant is asked to configure proactive alerts for executives. Which delivery channels are supported?
Antwort: B
Begründung:
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.
42. Frage
A Tableau Next Consultant is asked to configure streaming data ingestion. Where is the output written?
Antwort: B
Begründung:
A Data Stream Object (DSO) is the output associated with streaming data ingestion in this question.
Streaming ingestion is designed to continuously accept incoming records from a connected source and represent that stream in Data 360 so downstream processing and analytics can work with newly arriving data with minimal delay.
A Data Lake Object is used as a persisted data-layer object for broader ingestion and storage scenarios, while a Semantic Model is a downstream analytical abstraction that defines business-friendly measures, dimensions, relationships, metrics, and other semantic logic. Neither option describes the streaming-ingestion output requested by this item.
The exam distinction is to keep the ingestion pipeline separate from the semantic layer. Streaming data first enters through the streaming/data-stream construct, where the Data Stream Object represents the incoming stream. That data can then participate in downstream mapping, modeling, and Tableau Next analytics. The semantic model does not serve as the raw ingestion target; it consumes prepared and governed data structures to provide analytical meaning.
References/Topics: Data Setup - > Streaming Data Ingestion - > Data Stream Objects.
43. Frage
A Tableau Next Consultant with a Creator- level Tableau Next permission set is working on an analytics project that requires combining a production data source with an external data source. The consultant wants to avoid setting up governance on the second data source. Which approach should the consultant take to work on this project and share the results with the stakeholder, who has a Self- Service Analyst- level permission set?
Antwort: A
Begründung:
A Personal Org is specifically designed for self-service analysis where an analyst needs to combine governed corporate information with personal or specialized data without introducing that experimental dataset into the managed production governance environment.
Salesforce states that Personal Org enables analysts to combine production data with local or specialized datasets, create semantic models and visualizations, and iterate independently without affecting governed production content. Production assets can also be reused inside Personal Org while their existing production governance remains intact.
Once the analysis is ready, the Personal Org owner can share the relevant workspace with another eligible analyst and grant Viewer or Editor access. Salesforce explicitly documents sharing Personal Org workspaces with Tableau Next Analyst users.
Option B does not provide the isolated self-service environment intended for ungoverned analytical experimentation. Option C unnecessarily moves the analytical workflow into an external MCP client and does not represent the native Tableau Next solution for this use case.
References/Topics: Managing Workspaces and Orgs - > Personal Org - > Combine Governed and Personal Data - > Workspace Sharing.
44. Frage
A Tableau Next Consultant is asked to configure proactive alerts for metrics. Which prerequisite must be met before alerts can be created?
Antwort: C
Begründung:
Inspector Proactive Data Alerts operate against Tableau Next metrics, and Tableau Next metrics are semantic definitions created within the Tableau Semantics layer. Salesforce describes a metric as a governed business KPI derived from measures in a semantic model. Metrics can then support exploration, goals, thresholds, and Inspector alerts.
Therefore, B represents the architectural prerequisite among the supplied options. An alert must have a valid metric whose governed definition provides the measure, aggregation, temporal context, and other analytical semantics Inspector evaluates.
A user does not need to embed the metric in a dashboard. Salesforce's documented alert workflow starts from the Tableau Next metric page, where the user opens Tableau Agent and asks it to create an alert against that metric.
Option A is also not the fundamental prerequisite described by architecture. Although alert-management experiences can be reached through metric-related surfaces, the key technical dependency is the existence of the metric itself.
Current configuration also requires Tableau Agent/Data Analysis and Inspector Proactive Alerts to be enabled administratively. These are environment-level prerequisites, but they are not among the answer choices.
References/Topics: Agentic Experiences - > Inspector Proactive Data Alerts - > Metrics - > Semantic Models - > Data Analysis.
45. Frage
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?
Antwort: C
Begründung:
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.
46. Frage
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