Analytics-Con-202 Echte Fragen & Analytics-Con-202 Tests

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Salesforce Analytics-Con-202 Exam Syllabus Topics:

SectionWeightObjectives
Basic Setup & Admin10%- User Access
  • 1. Apply appropriate access to enable users
    - Tableau Next Setup
    • 1. Activate and manage Tableau Next features
      - Agentic Analytics
      • 1. Activate Agentic Analytics for users
        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
              Visualizations & Dashboards15%- Dashboard Actions
              • 1. Configure actions within Tableau Next
                - Visualization and Dashboard Design
                • 1. Visualization and dashboarding best practices
                  • 2. Design user-friendly Tableau Next assets
                    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
                          Embedding, Cross-Cloud, & Interoperability20%- Developer Tools and APIs
                          • 1. Tools and APIs available for developers
                            - Tableau Next Apps and Marketplace
                            • 1. Marketplace offerings
                              • 2. Tableau Next Apps for Salesforce
                                - Cross-Platform Workflows
                                • 1. Surface Tableau Next assets within user workflows across platforms
                                  - Salesforce Analytics Integration
                                  • 1. Tableau Next integration with Salesforce analytics platforms
                                    Agentic Experiences25%- 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
                                          - Agentic Readiness
                                          • 1. Assess and ensure Agentic readiness

                                            >> Analytics-Con-202 Echte Fragen <<

                                            Salesforce Analytics-Con-202 Fragen und Antworten, Salesforce Certified Tableau Next Consultant Prüfungsfragen

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                                            Salesforce Certified Tableau Next Consultant Analytics-Con-202 Prüfungsfragen mit Lösungen (Q25-Q30):

                                            25. Frage
                                            A Tableau Next Consultant is demonstrating how Tableau Agent provides transparency for its responses. A user asks Tableau Agent a question and receives a response with a visualization. The user now needs to examine how the agent arrived at the response. Which action must the user take in Tableau Agent to see this information?

                                            Antwort: C

                                            Begründung:
                                            The user should select Sources. Tableau Agent's conversational analytics experience exposes a Sources control specifically to provide transparency into how a response was generated.
                                            Salesforce documents that after Tableau Agent returns an analytical answer, users can select Sources to review details about how the agent analyzed the request, including the data sources and metrics used during the analysis. Salesforce also states that conversational analytics responses include information about the sources and reasoning used in the analysis, supporting traceability and user trust.
                                            Option B concerns visualization configuration rather than agent reasoning and source grounding. Option C is not the documented Tableau Agent workflow for exposing reasoning provenance to end users.
                                            This capability is important because Tableau Agent performs semantic queries against the underlying semantic model, synthesizes the returned data into a textual response, and generates a suitable visualization.
                                            Sources helps users understand the analytical basis of that output rather than requiring them to accept an opaque AI-generated answer.
                                            References/Topics: Agentic Experiences - > Tableau Agent - > Conversational Analytics - > Sources - > Response Transparency and Grounding.


                                            26. Frage
                                            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?

                                            Antwort: A

                                            Begründung:
                                            Generative AI capabilities in Tableau Semantics can directly accelerate semantic-model authoring by drafting calculated-field formulas and semantic descriptions, making A the correct choice. Salesforce supports Draft with Einstein, where the consultant describes the calculation in natural language and Einstein generates the calculated-field definition, including formula-related configuration that the author can review and save.
                                            Salesforce also provides AI-generated semantic descriptions. These descriptions supply business context to downstream conversational analytics and help Tableau Agent correctly discover and interpret objects and fields.
                                            Identity resolution and DMO mapping belong to Data 360 data-modeling and identity-management workflows, not the semantic-model generative-authoring capability described in this scenario. Dashboard and visualization construction is also a separate analytics-authoring process rather than the specified operation within the semantic data model configuration canvas.
                                            The exam principle is that Tableau Agent/Semantics AI reduces semantic-authoring friction by translating natural-language analytical intent into semantic definitions, relationships, descriptions, and calculations.
                                            References/Topics: Agentic Experiences - > generative AI for Tableau Next components; Create Semantic Models - > AI-assisted calculated fields and descriptions.


                                            27. Frage
                                            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?

                                            Antwort: B

                                            Begründung:
                                            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.


                                            28. Frage
                                            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?

                                            Antwort: C

                                            Begründung:
                                            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.


                                            29. Frage
                                            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?

                                            Antwort: B


                                            30. Frage
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