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Salesforce Analytics-Con-202 Exam Syllabus Topics:

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

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                                            Analytics-Con-202 Practice Exam Online - Analytics-Con-202 Valid Test Answers

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                                            Salesforce Certified Tableau Next Consultant Sample Questions (Q66-Q71):

                                            NEW QUESTION # 66
                                            A Tableau Next Consultant is configuring a Salesforce action in a Tableau Next table visualization that displays Contact records. The goal is to give sales reps the ability to trigger a screen flow that adds selected Contacts to a Campaign. What is a required configuration step for the action to work correctly?

                                            Answer: B

                                            Explanation:
                                            A Salesforce action executed from a Tableau Next visualization must know which Salesforce record the user is acting upon. Salesforce documentation therefore requires the consultant to select the appropriate record ID when configuring the action. The record ID is the primary identifier for the Salesforce object, and it must be available as part of the visualization. For Contact-based actions, this means mapping the Contact ID so that Tableau Next can invoke the action against the correct Contact record.
                                            The multi-row selection setting in A is not the fundamental record-context requirement for a standard Salesforce action. Likewise, B is misleading. Users certainly require authorization to execute the underlying Salesforce action, but Tableau Next does not require the consultant to create a special Tableau-specific custom permission set merely to map the action.
                                            Architecturally, Tableau Next integrates the analytical and transactional layers by associating visualization data with Salesforce object identifiers. Once a user selects the relevant data element, Tableau Next can pass the corresponding record identity into the configured Salesforce action.
                                            References/Topics: Visualizations and Dashboards - > Add Actions to Visualizations - > Salesforce Actions -
                                            > Record ID Mapping.


                                            NEW QUESTION # 67
                                            Universal Containers (UC) is developing a new profitability dashboard within its Tableau Next Personal Org.
                                            To ensure the dashboard is accurate, UC needs to incorporate the primary Sales data model object (DMO) which is governed and maintained in the production environment. The company's Tableau Next Consultant needs to bring this specific asset into its Personal Org workspace. Which action must the consultant take to use the production Sales DMO in UC's Personal Org?

                                            Answer: C

                                            Explanation:
                                            Tableau Next Personal Org supports reusing governed production assets without requiring the analyst to recreate or independently govern those assets. The documented procedure is to open or create the Personal Org workspace, select Add - > Data, choose Production from the Org dropdown, identify the production workspace and asset type, and then add the required asset to the workspace.
                                            Therefore, A precisely matches the official workflow.
                                            The reused production asset remains governed by production controls. Salesforce notes that assets reused from production are effectively read-only references; if the source asset is removed or the user loses access, the corresponding reused asset in the Personal Org stops functioning.
                                            Cloning the DMO is unnecessary and would contradict the intended reuse model. A Data Kit is a deployment mechanism used to move supported assets between managed environments; it is not the Personal Org workflow for referencing an individual production DMO.
                                            This design supports self-service analytics while maintaining centralized governance: analysts can combine authoritative enterprise data with their own analytical work without creating unmanaged duplicate definitions.
                                            References/Topics: Managing Workspaces and Orgs - > Personal Org - > Reuse Production Org Assets - > Add Data.


                                            NEW QUESTION # 68
                                            A Tableau Next Consultant wants to implement a Tableau Agent within Tableau Next to provide conversational insights and automated chart summaries for its sales operations managers. The deployment strategy requires using a preconfigured platform framework to accelerate the setup. How should the consultant deploy this specific conversational analytics capability?

                                            Answer: A

                                            Explanation:
                                            Tableau Agent conversational analytics is delivered through the Analytics and Visualization agent template.
                                            Salesforce's current documentation states that enabling Tableau Agent makes the Analytics and Visualization template and its prebuilt capabilities available in Agentforce Builder or Agentforce Studio. The consultant then creates an agent from that template and includes the Data Analysis subagent to enable conversational analytical responses and generated visualizations.
                                            Therefore, B is correct.
                                            Einstein Discovery Prediction is associated with predictive analytics and is not the preconfigured framework for Tableau Agent's conversational analytics. Tableau Next Marketplace contains reusable analytical assets and templates but is not the mechanism for constructing the core Analytics and Visualization agent.
                                            References/Topics: Agentic Experiences - > Tableau Agent - > Analytics and Visualization Template - > Data Analysis Subagent - > Conversational Analytics.


                                            NEW QUESTION # 69
                                            A Tableau Next Consultant has applied several filters to a dashboard and wants to share the link with a colleague so they see the exact same filtered view. However, the colleague reports that upon opening the link, the dashboard opens without any filters applied. What is the most likely cause of this behavior?

                                            Answer: C

                                            Explanation:
                                            The most likely cause is that the consultant used Copy Link in a way that shared the dashboard's default state rather than preserving the interactive filter state that was applied during analysis. A standard dashboard link can reopen the asset without carrying the sender's temporary filter and selection context, which explains why the colleague sees an unfiltered dashboard.
                                            Option A is incorrect because dashboard views can be shared; the problem is the type of link or view state being shared, not a blanket prohibition on sharing filtered analysis. Option C is also incorrect because there is no separate permission category whose purpose is specifically to display filters contained in a shared dashboard view. The recipient still needs ordinary access to the dashboard and its underlying governed data, but permissions do not explain why the filters disappeared.
                                            For exam purposes, remember the distinction between sharing the dashboard asset itself and sharing the user's current analytical state. When identical filter context matters, the consultant must use the mechanism that preserves that current view rather than a generic/default asset link.
                                            References/Topics: Visualizations and Dashboards - > Dashboard Sharing - > Copy Link - > Filtered View State.


                                            NEW QUESTION # 70
                                            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 # 71
                                            ......

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