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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% | - Design visualizations and advanced analytics
|
| 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% | - Deploy and manage content lifecycle
|
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NEW QUESTION # 27
A Tableau Next Consultant interacts with a Tableau Next dashboard and identifies an issue with a Tableau Next metric: It's using the wrong date field to trend the measure field. The consultant has confirmed that the correct date field exists within the semantic model. How should the consultant update the Tableau Next metric?
Answer: B
Explanation:
The consultant should modify the metric definition in the underlying semantic model. Tableau Next metrics are semantic-layer objects. Salesforce defines a metric as a business KPI derived from one or more measures together with a date field, and metrics are built from semantic models.
Therefore, selecting which date dimension governs the metric's time trend is part of the metric's semantic definition rather than dashboard presentation logic. The dashboard consumes the governed metric; changing the dashboard would not correct the authoritative metric definition.
Option B is also inappropriate. Data Lake Objects and Data Model Objects define the underlying physical
/logical data available in Data 360. Because the correct date field already exists in the semantic model, there is no requirement to modify the underlying DLO or DMO. The problem lies specifically in which existing semantic field the metric uses for its temporal definition.
This reflects a central Tableau Next architectural principle: reusable analytical business logic-including metrics, calculations, temporal semantics, and contextual definitions-should reside in Tableau Semantics, while dashboards remain downstream consumption and presentation layers.
References/Topics: Data Setup - > Semantic Models - > Metrics - > Measure and Date Field Configuration.
NEW QUESTION # 28
A Tableau Next Consultant has developed a semantic model and downstream assets using the Published Data Source (PDS) connector from Tableau Cloud. Their test end user has the correct permissions and access to the workspace, semantic model, and assets, but is unable to see anything when they open the assets in Tableau Next. What is a potential reason for the lack of visibility?
Answer: B
Explanation:
A semantic model created from a Tableau Cloud Published Data Source remains directly connected to the PDS. Salesforce states that the PDS acts as the external data definition and query source, and the integration does not create a corresponding Data 360 data object. Queries remain federated through the PDS connection.
For users configured in Tableau Cloud, Salesforce further states that record-level security and data access are inherited from the PDS. Consequently, a Tableau Next user can have access to the Tableau Next workspace, semantic model, dashboard, and visualization but still receive no usable data if their Tableau Cloud identity lacks access to the underlying Published Data Source.
Option B is incorrect because a PDS is a direct external connection and isn't represented as a DLO in Data
360. Option C is inconsistent with the scenario because the user already has the required Tableau Next asset permissions and access; moreover, the actual PDS authorization boundary remains relevant independently.
This question tests an important cross-platform rule: Tableau Next asset sharing does not override access controls enforced by the connected Tableau Cloud PDS.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Published Data Sources - > Tableau Cloud Trust - > PDS Authentication and Governance.
NEW QUESTION # 29
A Tableau Next Consultant receives a request from a business user to help troubleshoot an issue with setting data alerts using Tableau Agent. The consultant verifies that the business user has been granted a Tableau Next Consumer license and is accessing Tableau Agent from a page with Tableau Next on it. Which reason explains why the business user is unable to set the alert?
Answer: A
Explanation:
The limiting factor in this scenario is the user's license level. Setting proactive data alerts through Tableau Agent is an authoring-oriented capability that requires Tableau Next Creator access. A Consumer user can view and interact with published analytical content, but the Consumer persona does not receive the full set of creation and configuration capabilities needed to define alert conditions.
The fallback semantic model in option B is used when Tableau Agent lacks clear analytical context, such as when a user invokes the agent from a surface that does not already identify the relevant Tableau Next asset.
Here, the user is explicitly accessing Tableau Agent from a page that contains Tableau Next content, so lack of fallback scoping is not the primary issue. Option A can prevent analysis of a particular metric, but the question establishes a broader inability to set the alert and emphasizes that the user has a Consumer license.
The appropriate remediation is therefore to use the Creator-level entitlement for users who must configure proactive alerts. This preserves the distinction between consumption permissions and analytical creation
/configuration permissions.
References/Topics: Agentic Experiences - > Tableau Agent - > Proactive Data Alerts - > Creator Permissions.
NEW QUESTION # 30
A Tableau Next Consultant shares a metric in Slack that contains sensitive data governed by Data 360 policies. A user who does not have a Tableau Next license views the shared message in Slack and can see the metric image. The consultant is concerned there's a problem with the data security setup. Which statement correctly describes this behavior?
Answer: B
Explanation:
For a standard Tableau Next Slack message preview, Salesforce explicitly warns that anyone who can see the Slack message can see its preview, including filters applied when it was shared. Consequently, users should verify that the preview does not expose inappropriate sensitive information before posting it into a channel or conversation.
Tableau Next's Slack integration generates previews according to the sender's permission access and Tableau Next governance context. Once that snapshot-style preview is shared, visibility of the message governs who can see that static representation.
Therefore, C correctly describes the behavior. There is no indication that Data 360 security has malfunctioned.
Option A is wrong because recipients do not automatically obtain unrestricted interactive access to the underlying Tableau Next asset. Option B incorrectly assumes that each static Slack preview is dynamically authorization-checked as though the recipient were opening Tableau Next.
A critical distinction is that Slack Canvas cards behave differently: Canvas previews can refresh using each viewer's Tableau Next access, and unauthorized users cannot see the live underlying content.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next in Slack - > Shared Previews - > Governance.
NEW QUESTION # 31
A Tableau Next Consultant needs to migrate Tableau Next assets and underlying Data 360 semantic models from a sandbox to a production org. Which deployment strategy should the consultant use to deploy all assets together in a single step?
Answer: A
Explanation:
A Data Kit is the correct deployment mechanism when Tableau Next assets and their dependent Data 360 semantic models must be moved together. Salesforce explicitly documents that Tableau Next workspaces, visualizations, and dashboards can be packaged in a Data Kit and that Data 360 semantic models-the primary data source for Tableau Next assets-must be deployed to target home orgs using Data Kits.
The consultant should create a DevOps Data Kit, add the semantic models and Tableau Next assets, and then carefully validate the publishing sequence. Salesforce requires the dependency sequence to be at least:
Semantic Models - > Workspaces - > Visualizations - > Dashboards.
This ordering exists because visualizations depend on both semantic models and workspaces, while dashboards depend on visualizations.
A Change Set can deploy Tableau Next metadata in certain scenarios, but it does not provide the same unified deployment path for the Data 360 semantic-model dependencies described here. Salesforce CLI similarly is not the best answer when the requirement is explicitly to package all these assets together.
References/Topics: Managing Workspaces and Orgs - > Deploy Tableau Next Assets - > DevOps Data Kits -
> Publishing Sequence and Dependencies.
NEW QUESTION # 32
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