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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualizations & Dashboards | 15% | - Dashboard Actions
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| Topic 2: Managing Workspaces & Orgs | 10% | - Workspace and Asset Management
|
| Topic 3: Agentic Experiences | 25% | - Analytics Agent
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| Topic 4: Basic Setup & Admin | 10% | - Tableau Next Setup
|
| Topic 5: Embedding, Cross-Cloud, & Interoperability | 20% | - Tableau Next Apps and Marketplace
|
| Topic 6: Data Setup | 20% | - Data Architecture and Processing
|
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질문 # 23
What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?
정답：A
설명：
Option A, Draft with Einstein, can generate a calculation from natural language, but the question specifically asks about the multi-turn conversational agent experience, where the agent interacts with the user and refines the requirement. Therefore it is not the best answer. Option B addresses optimization/readiness rather than calculated-field authoring.
References/Topics: Agentic Experiences - > Tableau Agent - > Semantic Modeling/Data Pro - > Conversational Calculated Fields - > Natural-Language Authoring.
질문 # 24
Cloud Kicks wants to track and analyze user dashboard interactions with its Tableau Next assets for governance and adoption monitoring. Which capability should a Tableau Next Consultant activate to begin collecting user interaction data?
정답：C
설명：
User Interaction Logging is the capability used to begin collecting interaction data for governance and adoption analysis. In this scenario, Cloud Kicks needs visibility into how users interact with Tableau Next dashboard assets so administrators can evaluate usage patterns, adoption, and engagement. Enabling interaction logging creates the foundation for capturing those user events and making them available for downstream monitoring and analysis.
Tableau Next Auditing is associated with broader administrative audit and governance use cases, while Session Tracing is oriented toward tracing agent sessions and AI behavior. Neither is the specific capability identified here for initiating dashboard interaction collection. The requirement is centered on user activity against Tableau Next assets rather than agent reasoning or session diagnostics.
A consultant should distinguish telemetry collection from downstream analysis. First, interaction events must be captured through User Interaction Logging; those events can then be analyzed to understand which assets are used, how users engage with dashboards, and where adoption or governance attention is required. This supports operational oversight without changing the analytical content itself.
References/Topics: Basic Setup and Admin - > Tableau Next User Interaction Logging - > Governance and Adoption Monitoring.
질문 # 25
A Tableau Next Consultant needs to migrate dashboards from a sandbox org to production. Which deployment mechanism should be used?
정답：B
설명：
Data Kits are a native supported deployment mechanism for moving Tableau Next assets from a sandbox to a production Data 360 home org. Salesforce explicitly states that Tableau Next workspaces, visualizations, and dashboards can be deployed through Data Kits, and that Data 360 semantic models on which those analytical assets depend must also use Data Kits for deployment to target home orgs.
CSV export/import is a data-transfer technique, not a Tableau Next metadata lifecycle-management mechanism. It cannot preserve dashboard structure, visualization definitions, semantic-model dependencies, workspace metadata, or the relationships between these assets. Manual recreation would be operationally inefficient, prone to configuration drift, and unnecessary when supported deployment tooling exists.
A technically complete implementation must also account for dependency sequencing. When a Data Kit contains the semantic model and downstream Tableau Next content, Salesforce requires the publishing order to be at least Semantic Models - > Workspaces - > Visualizations - > Dashboards.
References/Topics: Managing Workspaces and Orgs - > Sandbox Development - > Data Kits - > Production Deployment - > Asset Dependencies.
질문 # 26
A Tableau Next Consultant wants to use color to identify products in a table that have an average discount above a user set threshold in a visualization. The consultant creates a parameter on the dashboard for the user to specify the value. Which approach should the consultant take to have the table highlight respond to the value set in the parameter?
정답：C
설명：
A Tableau Next parameter supplies a user-controlled value, while a calculated field translates that value into analytical logic. Therefore, the correct implementation is to create a Boolean calculated field-such as Average Discount greater than the threshold parameter-and use that calculated field for color encoding.
Salesforce's parameter workflow explicitly instructs authors to create the parameter and then create a calculated field whose formula responds to the selected parameter value. Salesforce separately documents Tableau Next table color encoding: a measure or calculated field can be placed on Color in the Marks section, allowing categories or condition results to receive appropriate colors.
Option B confuses dashboard text-widget conditional formatting with dynamic mark encoding inside the table visualization. Option C unnecessarily duplicates the visualization and introduces additional maintenance complexity when one visualization with calculated color logic is sufficient.
This pattern-Parameter - > Calculated Field - > Marks encoding-is the preferred design when visualization appearance must respond dynamically to user-provided analytical thresholds.
References/Topics: Visualizations and Dashboards - > Parameters - > Calculated Fields - > Color Encoding.
질문 # 27
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：A
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 # 28
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Salesforce인증 Analytics-Con-202시험은 IT업종종사분들에게 널리 알려진 유명한 자격증을 취득할수 있는 시험과목입니다. Salesforce인증 Analytics-Con-202시험은 영어로 출제되는만큼 시험난이도가 많이 높습니다.하지만 ITDumpsKR의Salesforce인증 Analytics-Con-202덤프만 있다면 아무리 어려운 시험도 쉬워집니다. 오르지 못할 산도 정복할수 있는게ITDumpsKR제품의 우점입니다. ITDumpsKR의Salesforce인증 Analytics-Con-202덤프로 시험을 패스하여 자격증을 취득하면 정상에 오를수 있습니다.
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