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| Section | Weight | Objectives |
|---|---|---|
| Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Agentic Experiences | 25% | - Analytics Agent
|
| Data Setup | 20% | - Data 360
|
| Embedding, Cross-Cloud, & Interoperability | 20% | - Salesforce Analytics Integration
|
| Managing Workspaces & Orgs | 10% | - Asset Management and Sharing
|
| Basic Setup & Admin | 10% | - Agentic Analytics
|
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NEW QUESTION # 61
A Tableau Next Consultant is working with a retail client's supply chain management team. The warehouse managers complain that they waste hours every week manually logging in and refreshing dashboards just to check if critical inventory levels have dropped below their safety stock limits. Which primary feature should the consultant enable to address this issue?
Answer: B
Explanation:
Inspector Proactive Data Alerts directly solve this requirement because they allow users to define conditions against Tableau Next metrics and receive notifications when those conditions become true. Salesforce describes the capability as allowing users to ask Tableau Agent to alert them when a metric exceeds a value, falls below a threshold, or moves outside an expected range.
For inventory management, the organization could define a metric representing available stock and configure an alert such as: "Alert me when inventory falls below the safety stock level." Inspector evaluates the configured condition and sends notifications through administrator-enabled delivery channels. This removes the need for warehouse managers to repeatedly open and refresh dashboards purely to determine whether intervention is required.
A Data Quality notification addresses issues with data reliability or processing rather than business KPI conditions. A dashboard subscription periodically delivers analytical content but is schedule-driven rather than specifically triggered by a critical inventory condition.
This is the defining distinction between passive dashboards and agentic analytics: Proactive Alerts monitor an explicitly defined metric condition and surface actionable information when attention is required.
References/Topics: Agentic Experiences - > Inspector - > Proactive Data Alerts - > Metric Conditions - > Threshold-Based Notifications.
NEW QUESTION # 62
A Tableau Next Consultant is asked to configure batch data transforms. Where is the output written?
Answer: C
Explanation:
Data Lake Object (DLO) is the correct answer among the available choices. A Data 360 Batch Data Transform requires an Output node where the transformed results are persisted. Salesforce documents that a Batch Data Transform can write its results to a new or existing target Data Lake Object, which can subsequently serve as input to identity resolution, calculated insights, segmentation, semantic modeling, or additional transforms.
A Data Stream Object is not the destination used to persist transformed output. Data streams provide ingestion pipelines that bring source data into Data 360. A Semantic Data Model is also not the physical output storage target; Tableau Semantics consumes governed Data 360 objects to provide measures, dimensions, relationships, calculations, and business context.
References/Topics: Data Setup - > Data 360 - > Batch Data Transforms - > Output Nodes - > Data Lake Objects.
NEW QUESTION # 63
What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?
Answer: A
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 # 64
A Tableau Next Consultant is looking to share a newly created workspace with a group of 50 end users and wants to avoid having to add users individually. Which feature should the consultant use to solve for this?
Answer: B
Explanation:
Analytics Groups provide the native Tableau Next mechanism for sharing analytical assets with multiple users as a single administrative unit. Salesforce states that Analytics Groups are specifically designed to simplify access management by allowing an administrator to create a group, add members, and then share Tableau Next assets with the entire group rather than adding each user individually.
That makes C the direct solution for sharing a workspace with 50 users.
Custom permission sets govern functional capabilities-what users are allowed to do in Tableau Next-but are not the asset-sharing construct for granting workspace access to a collection of users. Data spaces control access to Data 360 data and governance boundaries; they are not substitutes for Tableau Next workspace sharing.
After the Analytics Group has been created and populated, the workspace owner can use the normal Share interface, select the group, and grant Viewer or Editor access as appropriate. The role applied to a workspace can then be inherited by supported assets contained in that workspace, subject to each user's underlying licenses, permission sets, and data access.
References/Topics: Managing Workspaces and Orgs - > Analytics Groups - > Workspace Sharing - > Group-Based Access Management.
NEW QUESTION # 65
A Tableau Next Consultant needs to migrate dashboards from a sandbox org to production. Which deployment mechanism should be used?
Answer: B
Explanation:
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.
NEW QUESTION # 66
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