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Salesforce Analytics-Con-202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Setup | 20% | - Data 360
|
| Agentic Experiences | 25% | - Generative AI
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Salesforce Analytics Integration
|
| Basic Setup & Admin | 10% | - Tableau Next Activation and Management
|
| Visualizations & Dashboards | 15% | - Dashboard Actions
|
| Managing Workspaces & Orgs | 10% | - Asset Management and Sharing
|
Salesforce Certified Tableau Next Consultant Sample Questions:
A Tableau Next Consultant is asked to configure batch data transforms. Where is the output written?
- A. Semantic Model (SDM).
- B. Data Lake Object (DLO).
- C. Data Stream Object (DSO).
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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?
- A. Create a semantic model by connecting to the PDS then use it in Tableau Next.
- B. Use the Open Semantic Interchange (OSI) tool to translate the Tableau PDS into Snowflake SQL dialect.
- C. Export the PDS as a CRM Analytics (CRMA) recipe and use "SDM Hydration" to automatically generate the model.
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Cloud Kicks (CK) wants to scale out its semantic data tier but has limited Tableau Next Consultant resources.
CK wants to identify tasks where Tableau Agent's generative AI capabilities can directly accelerate the delivery of Tableau Next components. Which task can Tableau Agent directly perform within the semantic data model configuration canvas?
- A. Drafting complex formulas and individual field level business descriptions
- B. Creating identity resolution rules and data model object mappings
- C. Building dashboards and visualizations
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
Sales managers at Universal Containers (UC) want to receive proactive data alerts for their Tableau Next metrics directly within their Slack channels. UC has already enabled the Proactive Alert setting and Agentforce for Analytics in the Salesforce org. Which additional prerequisite must be met for users to receive these alerts in Slack?
- A. Enable Collaboration with Slack and Tableau Next in Setup.
- B. Create a new agent in Agentforce Builder specifically for Slack.
- C. Assign the 'Slack User' permission set to all sales managers.
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
The client wants AI-generated insights about Gross Margin % in Tableau Next. Where is the best place to define this context for the agent?
- A. As a Business Preference
- B. As a calculated field in the semantic model
- C. As a scoped dashboard calculated field
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