Analytics-Con-202인기자격증기출문제공부하기

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Salesforce Analytics-Con-202 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design and Troubleshoot Calculations and Workbooks40%- Optimize workbook performance
  • 1. Leverage performance recordings and caching
    • 2. Identify and resolve performance bottlenecks
      - Design visualizations and advanced analytics
      • 1. Recommend advanced chart types and densification
        • 2. Apply Tableau order of operations
          - Implement and optimize calculations
          • 1. Level of Detail (LOD) expressions
            • 2. Table calculations, date functions, and aggregations
              Topic 2: Evaluate Current State22%- Map current state of analytics to future state
              • 1. Translate analytical requirements using best practices
                • 2. Recommend Tableau Server vs Tableau Cloud including migration
                  • 3. Map business needs to Tableau capabilities
                    - Evaluate current data structures
                    • 1. Assess whether existing data supports business needs
                      • 2. Evaluate data lineage and performance risks
                        Topic 3: Establish Governance and Support Published Content16%- Apply governance strategy
                        • 1. Security, data quality, and certification strategy
                          • 2. Map governance requirements to Tableau capabilities
                            - Deploy and manage content lifecycle
                            • 1. Workbook lifecycle and maintenance
                              • 2. Content distribution and publishing strategy
                                Topic 4: Plan and Prepare Data Connections22%- Plan for data transformation
                                • 1. Specify granularity requirements
                                  • 2. Recommend appropriate data transformation strategy
                                    - Design row-level security (RLS) and advanced connections
                                    • 1. Recommend connection methods and Tableau Bridge
                                      • 2. Implement RLS and entitlement structures

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                                        최신 Salesforce Consultant Analytics-Con-202 무료샘플문제 (Q64-Q69):

                                        질문 # 64
                                        A Tableau Next Consultant needs to explicitly define an inner join between two data objects to create a new, single abstract table for their semantic model. Which feature should the consultant use?

                                        정답:B

                                        설명:
                                        A Logical View is the correct feature when the consultant needs to combine multiple data objects through an explicitly defined join and expose the resulting structure as a single reusable semantic object. Salesforce defines a logical view as a data object that combines multiple underlying objects using joins or unions rather than standard semantic relationships. The resulting logical view can then participate in relationships, calculated fields, metrics, and other semantic definitions as though it were an ordinary data object.
                                        This distinction is fundamental. A standard relationship keeps the participating objects logically separate and describes how Tableau Semantics should traverse between them during query generation. It does not materialize their joined structure into one abstract semantic object. A Calculated Insight is used for more advanced Data 360 calculations and aggregations and does not represent the semantic-model join construct required here.
                                        When configuring a Logical View, the consultant defines the participating objects, join criteria, join type- including an inner join when required-and appropriate cardinality. Correct join and cardinality configuration prevents duplicate or missing analytical results.
                                        References/Topics: Data Setup - > Tableau Semantics - > Logical Views - > Joins - > Cardinality.


                                        질문 # 65
                                        Universal Containers wants to allow sales reps to ask natural language questions about their pipeline directly from Salesforce mobile. Which configuration is required?

                                        정답:B

                                        설명:
                                        The correct requirement is to enable the conversational analytics capability represented by Agentforce for Analytics, now called Tableau Agent. Salesforce explicitly lists the Salesforce Mobile app as a supported surface for Tableau Agent with the Data Analysis subagent. Users can ask natural-language analytical questions within Salesforce and receive grounded answers and visualizations based on their semantic models.
                                        The terminology in option A is older but still maps directly to the current capability. Salesforce states that, beginning in July 2026, Agentforce for Analytics in Tableau Next is called Tableau Agent, while Concierge:
                                        Analytics Q & A became the conversational analytics capability enabled by Data Analysis.
                                        No custom Lightning component is required merely to expose this supported conversational experience on Salesforce mobile. Likewise, deploying traditional dashboards to mobile would enable dashboard consumption but would not itself provide the requested natural-language Q & A experience.
                                        References/Topics: Agentic Experiences - > Tableau Agent - > Data Analysis - > Salesforce Mobile - > Conversational Analytics.


                                        질문 # 66
                                        Cloud Kicks (CK) uses CRM Analytics (CRMA) for operational embedded reporting within its Agentforce Sales console and Tableau Cloud for historical deep- dive executive dashboards. CK is now evaluating the addition of Tableau Next to its analytics architecture. Which statement accurately describes the distinct positioning benefit of adding Tableau Next to this multi- platform ecosystem?

                                        정답:B

                                        설명:
                                        Tableau Next's distinctive value is its agentic, conversational, and actionable analytics layer, so C is correct.
                                        Salesforce positions Tableau Next as an end-to-end agentic analytics platform combining Tableau analytics, Agentforce AI, and the Data 360 semantic layer. It enables users to ask freeform analytical questions, receive grounded text and visual answers, obtain proactive insights, and initiate actions where work occurs.
                                        The platform is therefore complementary to existing analytical investments. Tableau Cloud can continue supporting sophisticated traditional analytics and executive exploration, while CRM Analytics can continue supporting embedded Salesforce analytical use cases. Tableau Next introduces a governed semantic and agentic layer that makes data conversational and actionable.
                                        Option A is too absolute. Salesforce interoperability capabilities explicitly support connecting Tableau Cloud to Tableau Semantics, illustrating coexistence rather than mandatory replacement. Option B also mischaracterizes Published Data Source integration: Tableau Next can build semantic models directly from supported Tableau Cloud PDS content; its purpose is not merely extraction into DMOs.
                                        References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next Positioning - > Tableau Agent - > Tableau Cloud and CRM Analytics Coexistence.


                                        질문 # 67
                                        A Tableau Next Consultant is asked to configure workspace access for sensitive dashboards. Which General Access setting ensures no one can see dashboards by default?

                                        정답:B

                                        설명:
                                        Restricted is the correct General Access state. Salesforce documents that newly created Tableau Next assets are restricted by default. When General Access remains restricted, only individual users or Analytics Groups that have been explicitly granted access can open the asset.
                                        For sensitive dashboards, this provides the correct baseline because access is opt-in rather than org-wide. The owner can then grant specific users or groups Viewer access and, where supported at the workspace level, Editor access.
                                        Salesforce also makes an important distinction between Tableau Next asset access and underlying data access.
                                        Even if a dashboard is shared with a user, that action does not automatically grant permission to the DLOs, DMOs, or data spaces on which the dashboard depends. Data 360 governance still applies separately.
                                        "Public" and "Shared" are not the documented General Access states that produce the required private-by- default behavior. Current Tableau Next access management uses Restricted as the state in which only explicitly shared users or groups can access an asset.
                                        For sensitive content, the architecture should therefore use Restricted asset access + explicit user/group sharing + Data 360 governance.
                                        References/Topics: Managing Workspaces and Orgs - > General Access - > Restricted - > Asset Sharing - > Data Governance.


                                        질문 # 68
                                        A Tableau Next Consultant with a Creator- level Tableau Next permission set is working on an analytics project that requires combining a production data source with an external data source. The consultant wants to avoid setting up governance on the second data source. Which approach should the consultant take to work on this project and share the results with the stakeholder, who has a Self- Service Analyst- level permission set?

                                        정답:B

                                        설명:
                                        A Personal Org is specifically designed for self-service analysis where an analyst needs to combine governed corporate information with personal or specialized data without introducing that experimental dataset into the managed production governance environment.
                                        Salesforce states that Personal Org enables analysts to combine production data with local or specialized datasets, create semantic models and visualizations, and iterate independently without affecting governed production content. Production assets can also be reused inside Personal Org while their existing production governance remains intact.
                                        Once the analysis is ready, the Personal Org owner can share the relevant workspace with another eligible analyst and grant Viewer or Editor access. Salesforce explicitly documents sharing Personal Org workspaces with Tableau Next Analyst users.
                                        Option B does not provide the isolated self-service environment intended for ungoverned analytical experimentation. Option C unnecessarily moves the analytical workflow into an external MCP client and does not represent the native Tableau Next solution for this use case.
                                        References/Topics: Managing Workspaces and Orgs - > Personal Org - > Combine Governed and Personal Data - > Workspace Sharing.


                                        질문 # 69
                                        ......

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