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Salesforce Analytics-Con-202 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Embedding, Cross-Cloud, & Interoperability20%- Tableau Next Apps and Marketplace
  • 1. Marketplace offerings
    • 2. Tableau Next Apps for Salesforce
      - Developer Tools and APIs
      • 1. Tools and APIs available for developers
        - Salesforce Analytics Integration
        • 1. Tableau Next integration with Salesforce analytics platforms
          - Cross-Platform Workflows
          • 1. Surface Tableau Next assets within user workflows across platforms
            Topic 2: Visualizations & Dashboards15%- Visualization and Dashboard Design
            • 1. Design user-friendly Tableau Next assets
              • 2. Visualization and dashboarding best practices
                - Dashboard Actions
                • 1. Configure actions within Tableau Next
                  Topic 3: Agentic Experiences25%- Agentic Readiness
                  • 1. Assess and ensure Agentic readiness
                    - Analytics Agent
                    • 1. Proactive data alerts and notifications
                      • 2. Explore data and generate insights
                        - Generative AI
                        • 1. Generative AI capabilities for creating Tableau Next components
                          Topic 4: Managing Workspaces & Orgs10%- Workspace and Asset Management
                          • 1. Deploy Tableau Next assets
                            • 2. Manage and share Tableau Next assets
                              - Personal Org
                              • 1. Deploy and manage a Personal Org
                                Topic 5: Basic Setup & Admin10%- Agentic Analytics
                                • 1. Activate Agentic Analytics for users
                                  - Tableau Next Setup
                                  • 1. Activate and manage Tableau Next features
                                    - User Access
                                    • 1. Apply appropriate access to enable users
                                      Topic 6: Data Setup20%- Data Architecture and Processing
                                      • 1. Determine the appropriate data architecture or data processing approach
                                        - Semantic Models
                                        • 1. Components, design, and application of semantic models
                                          - Data 360
                                          • 1. Data integration, management, preparation, and modeling

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                                            Salesforce Certified Tableau Next Consultant Sample Questions (Q46-Q51):

                                            NEW QUESTION # 46
                                            The client wants AI-generated insights about Gross Margin % in Tableau Next. Where is the best place to define this context for the agent?

                                            Answer: B


                                            NEW QUESTION # 47
                                            Which statement accurately describes a parameter within a Tableau Next semantic model?

                                            Answer: B

                                            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 # 48
                                            Universal Containers is concerned about Personally Identifiable Information (PII) being exposed when using Data Connection and Analytics Creation capabilities to create calculated fields. How does Data Connection and Analytics Creation ensure data security when processing requests through the large language model (LLM)?

                                            Answer: A

                                            Explanation:
                                            The correct security mechanism is the Einstein Trust Layer's PII masking capability. Salesforce guidance for AI-assisted calculated-field creation states that the agent may use information from the semantic model, including its schema and metadata, and that personally identifiable information is masked by the Einstein Trust Layer before information is sent to the LLM.
                                            This allows Tableau Next's generative functionality to receive the semantic context required to construct useful calculated fields while applying Salesforce's enterprise AI security controls.
                                            Option A describes a whole-model encryption/decryption workflow that is not the documented Tableau Next processing model. Option C is also incorrect because the system does not simply prohibit every field that could potentially contain PII. Instead, the Trust Layer applies masking and other controls to protect sensitive information while retaining useful analytical context.
                                            More broadly, Salesforce states that Tableau Agent and Agentforce inherit the Einstein Trust Layer's security, governance, and trust mechanisms, including protections designed to prevent customer data from being retained by external LLMs for model training.
                                            References/Topics: Agentic Experiences - > Einstein Trust Layer - > PII Masking - > Generative AI Calculated Fields.


                                            NEW QUESTION # 49
                                            A financial services firm requires its Analytics Agent to consistently provide concise responses and format all currency outputs in Great British Pounds (GBP). Where should a Tableau Next Consultant configure these global formatting and output style rules?

                                            Answer: A

                                            Explanation:
                                            Business Preferences are the semantic-model mechanism for supplying organization-specific instructions and contextual guidance to Tableau Agent. They can define how the analytics agent should interpret business concepts, terminology, and preferred response conventions. Salesforce recommends keeping each Business Preference short, focused, and high-value because these instructions are added to the agent's prompt.
                                            Accordingly, preferences such as "Use GBP when presenting monetary values" or "Keep responses concise" belong in Business Preferences rather than individual field descriptions. A field description explains what a particular semantic field means; it is not the proper location for broadly applicable output behavior. The Einstein Trust Layer addresses AI trust, security, privacy, and governance controls rather than organization- specific response formatting.
                                            References/Topics: Agentic Experiences - > Business Preferences - > Organizational Terminology - > Response Guidance - > Semantic Model Context.


                                            NEW QUESTION # 50
                                            A Tableau Next Consultant needs to migrate a newly developed Tableau Next semantic model and its associated dashboards from a sandbox to the production environment. The two environments are part of the same Salesforce organization hierarchy. Which deployment method should the consultant use to natively move these assets?

                                            Answer: A

                                            Explanation:
                                            Among the listed choices, Inbound and Outbound Change Sets are the appropriate native Salesforce deployment mechanism. Tableau Next supports Salesforce Metadata API-based deployment capabilities, including change sets, for moving Tableau Next workspaces, visualizations, and dashboards between supported sandbox and target organizations. The workflow uses an outbound change set in the source org and an inbound change set in the target org.
                                            The Data 360 Ingestion API is intended for bringing data into Data 360 rather than lifecycle deployment of Tableau Next metadata. The Tableau Cloud Site Migration Tool pertains to Tableau Cloud site migration and is not the Salesforce metadata deployment mechanism described here.
                                            References/Topics: Managing Workspaces and Orgs - > Organize and Deploy Analytical Assets - > Deploy Tableau Next Assets.


                                            NEW QUESTION # 51
                                            ......

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