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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and Troubleshoot Calculations and Workbooks | 40% | - Optimize workbook performance
|
| Topic 2: Evaluate Current State | 22% | - Evaluate current data structures
|
| 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% | - Apply governance strategy
|
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NEW QUESTION # 61
A Tableau Next Consultant is looking to share a newly created workspace with a group of 50 end users and wants to avoid having to add users individually. Which feature should the consultant use to solve for this?
Answer: B
Explanation:
Analytics Groups provide the native Tableau Next mechanism for sharing analytical assets with multiple users as a single administrative unit. Salesforce states that Analytics Groups are specifically designed to simplify access management by allowing an administrator to create a group, add members, and then share Tableau Next assets with the entire group rather than adding each user individually.
That makes C the direct solution for sharing a workspace with 50 users.
Custom permission sets govern functional capabilities-what users are allowed to do in Tableau Next-but are not the asset-sharing construct for granting workspace access to a collection of users. Data spaces control access to Data 360 data and governance boundaries; they are not substitutes for Tableau Next workspace sharing.
After the Analytics Group has been created and populated, the workspace owner can use the normal Share interface, select the group, and grant Viewer or Editor access as appropriate. The role applied to a workspace can then be inherited by supported assets contained in that workspace, subject to each user's underlying licenses, permission sets, and data access.
References/Topics: Managing Workspaces and Orgs - > Analytics Groups - > Workspace Sharing - > Group-Based Access Management.
NEW QUESTION # 62
Which statement accurately describes a parameter within a Tableau Next semantic model?
Answer: A
Explanation:
A parameter is a user-controllable variable that can influence calculations, filtering, reference lines, and other interactive analytical behavior. Salesforce documents parameters as a mechanism for modeling scenarios and allowing dashboard users to provide inputs that affect analytical results. Parameters can be created for different data types and then referenced by calculated fields or dashboard controls.
For example, an organization could define a parameter named Target Discount and allow a user to enter 15%.
A calculated field could then compare actual discount values with the parameter and dynamically change the resulting visualization. Tableau Next also supports parameter widgets that accept manually entered values or derive dynamic values from dashboard queries.
Option B incorrectly describes semantic-model relationship configuration. Relationships between DMOs are defined through relationship metadata and cardinality rather than parameters. Option C confuses parameters with governance and authorization controls.
The certification distinction is: parameters provide variable analytical input; calculated fields consume that input; semantic relationships define object connectivity; Data 360 governance controls security.
References/Topics: Data Setup - > Semantic Models - > Parameters - > Calculated Fields - > Interactive Scenario Modeling.
NEW QUESTION # 63
A team at Universal Containers collaborates frequently in Slack. The goal is to share a Tableau Next metric within a Slack canvas, ensuring it appears as a rich preview where the data regularly refreshes for each team member. All team members have appropriately assigned licenses. Which procedure should a Tableau Next Consultant instruct a user to follow to achieve this?
Answer: A
Explanation:
For a live Tableau Next preview inside a Slack canvas, Salesforce instructs users to paste the Tableau Next asset URL into the canvas and select Card from the Paste As menu. The resulting card can display a metric, dashboard, or visualization and regularly refresh its underlying data.
This behavior differs materially from sharing a static Tableau Next preview in an ordinary Slack channel or direct message. In a Canvas, Salesforce retrieves the data from each viewer's perspective. Consequently, each person must have appropriate Tableau Next access to the underlying asset and data. Unauthorized users receive an access message instead of seeing protected data. This preserves individual data governance while still providing a rich collaborative experience.
Option A does not describe the documented Slack Canvas workflow. Option C produces a static image and therefore fails the requirement for regularly refreshed information.
The exam distinction is important: standard Slack message preview = snapshot governed by sharing behavior; Slack Canvas Card = live, refreshable preview evaluated against each viewer's access.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next in Slack - > Slack Canvas - > Paste As Card - > Viewer-Based Data Access.
NEW QUESTION # 64
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?
Answer: B
Explanation:
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.
NEW QUESTION # 65
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: C
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 # 66
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