The Salesforce Analytics-Con-202 exam questions are being offered in three different formats. These formats are Salesforce Certified Tableau Next Consultant (Analytics-Con-202) PDF dumps files, desktop practice test software, and web-based practice test software. All these three Salesforce Certified Tableau Next Consultant (Analytics-Con-202) exam dumps formats contain the real Salesforce Certified Tableau Next Consultant (Analytics-Con-202) exam questions that assist you in your Salesforce Certified Tableau Next Consultant (Analytics-Con-202) practice exam preparation and finally, you will be confident to pass the final Analytics-Con-202 exam easily.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Workspaces & Orgs | 10% | - Workspace and Asset Management
|
| Topic 2: Embedding, Cross-Cloud, & Interoperability | 20% | - Developer Tools and APIs
|
| Topic 3: Data Setup | 20% | - Data 360
|
| Topic 4: Visualizations & Dashboards | 15% | - Dashboard Actions
|
| Topic 5: Agentic Experiences | 25% | - Generative AI
|
| Topic 6: Basic Setup & Admin | 10% | - User Access
|
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NEW QUESTION # 71
What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?
Answer: B
Explanation:
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.
NEW QUESTION # 72
Before launching a dashboard in Tableau Next, a Tableau Next Consultant gives the appropriate team View access to the dashboard's workspace. Which other access consideration should the consultant verify before rolling this dashboard out to end users?
Answer: B
Explanation:
Tableau Next asset sharing and Data 360 data access are separate layers. Granting users Viewer access to a workspace can provide inherited access to its dashboards, visualizations, and semantic models, but it does not automatically grant access to the underlying Data 360 data. Salesforce explicitly states that access to a semantic model requires access to the data space containing the model as well as access to the objects and fields used by that model.
Therefore, C is correct.
End users do not require Edit access to underlying Data 360 objects merely to view dashboard data, making A unnecessarily privileged. Similarly, B is incorrect because Consumer-level permission sets can view Tableau Next assets; Platform Analyst or Self-Service Analyst permissions are not universally required for dashboard consumption.
The architecture can be understood as three layers: license/permission access, Tableau Next asset sharing, and Data 360 data visibility/governance. Successful dashboard rollout requires all applicable layers to authorize the user. Sharing alone cannot override an administrator's data-space, DMO, DLO, field, or policy restrictions.
References/Topics: Managing Workspaces and Orgs - > Asset Sharing - > Data Spaces - > Data 360 Governance - > Semantic Model Access.
NEW QUESTION # 73
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: A
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 # 74
Cloud Kicks (CK) has created a semantic model and associated metrics to help improve the conversion rate for marketing driven leads. Sales and marketing teams both regularly review these metrics. When reviewing the project's results, CK discovers that both teams are looking at the same metrics, but often have parallel discussions in Slack without awareness of the other's conversation. Which functionality of Tableau Next in Slack should a Tableau Next Consultant highlight to improve cross- team collaboration?
Answer: C
Explanation:
The Conversations tab is specifically designed to expose related Slack discussions associated with Tableau Next analytical assets. When a Tableau Next metric, dashboard, or visualization is shared in Slack, users can open its preview and select Conversations to browse related Slack channels, threads, or direct-message discussions that they are authorized to access.
This directly addresses the scenario: sales and marketing are already discussing the same analytical content, but those discussions are fragmented. Surfacing related conversations in the asset context enables teams to discover existing dialogue instead of unknowingly creating duplicate parallel threads.
Option A changes how metrics are surfaced but does not address visibility into conversations already occurring around those metrics. Option C creates yet another broadcast mechanism and does not consolidate or expose existing contextual discussions.
A key design point is that Slack permissions continue to apply. The Conversations tab does not reveal conversations that the current user is unauthorized to access. Instead, it creates analytical context across conversations the user can already legitimately view, preserving Slack security while improving cross-team awareness.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next in Slack - > Related Conversations - > Conversations Tab.
NEW QUESTION # 75
During agent testing, a Tableau Next Consultant asks, "Who are the top-performing AEs?" and the Tableau Agent returns results based on opportunity count, when the business definition of "top-performing" is based on annual contract value (ACV). Which configuration change best resolves this issue?
Answer: A
Explanation:
This is a textbook use case for Business Preferences. Salesforce defines Business Preferences as business- specific instructions stored within the semantic model that tell Analytics Q & A how to interpret an organization's terminology, defaults, jargon, and business logic.
The expression "top-performing" is ambiguous in ordinary language. The organization has explicitly defined it to mean performance ranked by Annual Contract Value. A Business Preference such as "When users ask about top-performing AEs, use ACV to determine performance" supplies precisely that missing business context.
Renaming ACV to Performance would reduce semantic clarity and distort the actual meaning of the field.
ACV should retain its authoritative business name.
A Verified Question can help calibrate frequently asked questions and improve responses to semantically similar queries, but the underlying issue here is a reusable business-language interpretation rule, not merely one incorrect Q & A example. Business Preferences are therefore the more appropriate semantic mechanism.
Salesforce also recommends keeping Business Preferences concise and using them for contextual interpretation rather than structured calculations that belong in calculated fields or metrics.
References/Topics: Agentic Experiences - > Business Preferences - > Business Terminology - > Analytics Q
& A Accuracy.
NEW QUESTION # 76
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