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| Section | Weight | Objectives |
|---|---|---|
| Visualizations & Dashboards | 15% | - Dashboard Actions
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Developer Tools and APIs
|
| Basic Setup & Admin | 10% | - Tableau Next Activation and Management
|
| Data Setup | 20% | - Semantic Models
|
| Agentic Experiences | 25% | - Agentic Readiness
|
| Managing Workspaces & Orgs | 10% | - Asset Management and Sharing
|
>> Analytics-Con-202 Exam Guide <<
Whereas the other two GuideTorrent Analytics-Con-202 exam questions formats are concerned, both are customizable practice tests, provide real time environment, track your progress, and help you overcome mistakes. The desktop Salesforce Analytics-Con-202 Practice Test software is compatible with Windows computers. The web based practice exam is supported by all browsers and operating systems.
NEW QUESTION # 71
Cloud Kicks has built a highly curated semantic data model (SDM) in Tableau Next containing all of its business rules, metric definitions, and generative AI field descriptions. However, another team of analysts want to use this exact same business logic to build custom visualizations in Tableau Cloud. What should the Tableau Next Consultant recommend to this team?
Answer: C
Explanation:
The correct approach is to use the Tableau Semantics connector from Tableau Cloud. Salesforce explicitly supports connecting Tableau Desktop and Tableau Cloud directly to semantic models defined in Data 360
/Tableau Semantics. This allows downstream Tableau authors to consume the same governed measures, dimensions, calculations, relationships, metrics, and business definitions that Tableau Next uses.
Option B would undermine the principal benefit of the semantic layer. Reconnecting directly to Data 360 objects and recreating joins would force analysts to reconstruct business logic and could lead to inconsistent calculations or relationships across analytical applications. Option C is also incorrect because Data Kits are Salesforce/Data 360 deployment mechanisms; they are not used to install semantic models into Tableau Cloud as independent Tableau data models.
This interoperability capability is strategically important: Tableau Semantics provides one governed analytical definition layer that can be consumed across Tableau Next, Tableau Cloud, Tableau Desktop, AI experiences, and other supported Salesforce applications. Analysts can therefore create custom Tableau Cloud visualizations without duplicating semantic logic.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Semantics Connector - > Tableau Cloud - > Reusable Semantic Models.
NEW QUESTION # 72
Cloud Kicks requires a group to have access to Tableau Next strictly to ask natural language questions via Tableau Agent and view the resulting insights. The group will not create any dashboards or data models.
What is the most appropriate permission set to assign to this group?
Answer: B
Explanation:
Tableau Unmetered Self-Service Consumer is the best match because these users only require consumption and conversational-analysis functionality rather than administrative or authoring privileges.
Salesforce's current permission-set documentation states that users assigned Tableau Unmetered Self-Service Consumer can browse, view, and interact with Tableau Next production assets and can use Tableau Agent.
They can also view dashboards, visualizations, metrics, and other supported analytics without receiving the broader content-management capabilities associated with analyst or administrator roles.
The Tableau Unmetered Admin permission set provides substantially excessive privileges, including platform configuration, user administration, asset management, and governance capabilities. Assigning it would directly violate least-privilege design.
The Tableau Unmetered Platform Analyst permission set is intended for users who create, manage, and share governed Tableau Next assets. Those capabilities are unnecessary because the stated users will not create dashboards or semantic models.
The certification principle is straightforward: license and permission assignment should reflect the minimum required analytical persona. Conversational consumption alone does not justify authoring or administrative privileges.
References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Self-Service Consumer - > Tableau Agent Access.
NEW QUESTION # 73
Before launching a dashboard in Tableau Next, a Tableau Next Consultant gives the appropriate team View access to the dashboard's workspace. Which other access consideration should the consultant verify before rolling this dashboard out to end users?
Answer: B
Explanation:
Tableau Next asset sharing and Data 360 data access are separate layers. Granting users Viewer access to a workspace can provide inherited access to its dashboards, visualizations, and semantic models, but it does not automatically grant access to the underlying Data 360 data. Salesforce explicitly states that access to a semantic model requires access to the data space containing the model as well as access to the objects and fields used by that model.
Therefore, C is correct.
End users do not require Edit access to underlying Data 360 objects merely to view dashboard data, making A unnecessarily privileged. Similarly, B is incorrect because Consumer-level permission sets can view Tableau Next assets; Platform Analyst or Self-Service Analyst permissions are not universally required for dashboard consumption.
The architecture can be understood as three layers: license/permission access, Tableau Next asset sharing, and Data 360 data visibility/governance. Successful dashboard rollout requires all applicable layers to authorize the user. Sharing alone cannot override an administrator's data-space, DMO, DLO, field, or policy restrictions.
References/Topics: Managing Workspaces and Orgs - > Asset Sharing - > Data Spaces - > Data 360 Governance - > Semantic Model Access.
NEW QUESTION # 74
A Tableau Next Consultant is asked to configure batch data transforms. Where is the output written?
Answer: C
Explanation:
Data Lake Object (DLO) is the correct answer among the available choices. A Data 360 Batch Data Transform requires an Output node where the transformed results are persisted. Salesforce documents that a Batch Data Transform can write its results to a new or existing target Data Lake Object, which can subsequently serve as input to identity resolution, calculated insights, segmentation, semantic modeling, or additional transforms.
A Data Stream Object is not the destination used to persist transformed output. Data streams provide ingestion pipelines that bring source data into Data 360. A Semantic Data Model is also not the physical output storage target; Tableau Semantics consumes governed Data 360 objects to provide measures, dimensions, relationships, calculations, and business context.
References/Topics: Data Setup - > Data 360 - > Batch Data Transforms - > Output Nodes - > Data Lake Objects.
NEW QUESTION # 75
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: A
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 # 76
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