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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Establish Governance and Support Published Content | 16% | - Deploy and manage content lifecycle
|
| Topic 2: Evaluate Current State | 22% | - Evaluate current data structures
|
| Topic 3: Design and Troubleshoot Calculations and Workbooks | 40% | - Optimize workbook performance
|
| Topic 4: Plan and Prepare Data Connections | 22% | - Plan for data transformation
|
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NEW QUESTION # 36
Cloud Kicks requires a group to have access to Tableau Next strictly to ask natural language questions via Tableau Agent and view the resulting insights. The group will not create any dashboards or data models.
What is the most appropriate permission set to assign to this group?
Answer: C
Explanation:
Tableau Unmetered Self-Service Consumer is the best match because these users only require consumption and conversational-analysis functionality rather than administrative or authoring privileges.
Salesforce's current permission-set documentation states that users assigned Tableau Unmetered Self-Service Consumer can browse, view, and interact with Tableau Next production assets and can use Tableau Agent.
They can also view dashboards, visualizations, metrics, and other supported analytics without receiving the broader content-management capabilities associated with analyst or administrator roles.
The Tableau Unmetered Admin permission set provides substantially excessive privileges, including platform configuration, user administration, asset management, and governance capabilities. Assigning it would directly violate least-privilege design.
The Tableau Unmetered Platform Analyst permission set is intended for users who create, manage, and share governed Tableau Next assets. Those capabilities are unnecessary because the stated users will not create dashboards or semantic models.
The certification principle is straightforward: license and permission assignment should reflect the minimum required analytical persona. Conversational consumption alone does not justify authoring or administrative privileges.
References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Self-Service Consumer - > Tableau Agent Access.
NEW QUESTION # 37
A Tableau Next Consultant is asked to configure proactive alerts for metrics. Which prerequisite must be met before alerts can be created?
Answer: B
Explanation:
Inspector Proactive Data Alerts operate against Tableau Next metrics, and Tableau Next metrics are semantic definitions created within the Tableau Semantics layer. Salesforce describes a metric as a governed business KPI derived from measures in a semantic model. Metrics can then support exploration, goals, thresholds, and Inspector alerts.
Therefore, B represents the architectural prerequisite among the supplied options. An alert must have a valid metric whose governed definition provides the measure, aggregation, temporal context, and other analytical semantics Inspector evaluates.
A user does not need to embed the metric in a dashboard. Salesforce's documented alert workflow starts from the Tableau Next metric page, where the user opens Tableau Agent and asks it to create an alert against that metric.
Option A is also not the fundamental prerequisite described by architecture. Although alert-management experiences can be reached through metric-related surfaces, the key technical dependency is the existence of the metric itself.
Current configuration also requires Tableau Agent/Data Analysis and Inspector Proactive Alerts to be enabled administratively. These are environment-level prerequisites, but they are not among the answer choices.
References/Topics: Agentic Experiences - > Inspector Proactive Data Alerts - > Metrics - > Semantic Models - > Data Analysis.
NEW QUESTION # 38
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: A
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 # 39
A Tableau Next Consultant shares a metric in Slack that contains sensitive data governed by Data 360 policies. A user who does not have a Tableau Next license views the shared message in Slack and can see the metric image. The consultant is concerned there's a problem with the data security setup. Which statement correctly describes this behavior?
Answer: B
Explanation:
For a standard Tableau Next Slack message preview, Salesforce explicitly warns that anyone who can see the Slack message can see its preview, including filters applied when it was shared. Consequently, users should verify that the preview does not expose inappropriate sensitive information before posting it into a channel or conversation.
Tableau Next's Slack integration generates previews according to the sender's permission access and Tableau Next governance context. Once that snapshot-style preview is shared, visibility of the message governs who can see that static representation.
Therefore, C correctly describes the behavior. There is no indication that Data 360 security has malfunctioned.
Option A is wrong because recipients do not automatically obtain unrestricted interactive access to the underlying Tableau Next asset. Option B incorrectly assumes that each static Slack preview is dynamically authorization-checked as though the recipient were opening Tableau Next.
A critical distinction is that Slack Canvas cards behave differently: Canvas previews can refresh using each viewer's Tableau Next access, and unauthorized users cannot see the live underlying content.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next in Slack - > Shared Previews - > Governance.
NEW QUESTION # 40
What is a logical view within a semantic data model?
Answer: C
Explanation:
A Logical View is a semantic data object that combines underlying objects through explicitly configured joins or unions and presents the resulting structure as a single analytical object. Of the choices provided, A correctly captures this concept: the view contains participating objects whose join structure and relationship characteristics must be defined.
Salesforce's current glossary defines a Logical View as a data object that combines multiple tables using special joins and then allows that enriched dataset to be queried as one object. It can subsequently participate in calculated fields, metrics, semantic relationships, and other definitions.
Proper cardinality is important because Tableau Semantics must know whether objects relate one-to-one, one- to-many, many-to-one, or many-to-many to prevent duplicate aggregation or missing results. Salesforce provides explicit cardinality configuration for semantic relationships.
Option B confuses a Logical View with ordinary semantic relationships inherited or defined among data objects. Option C describes neither the structure nor purpose of Logical Views.
The critical exam distinction is relationships preserve separate objects, while a Logical View combines objects into a single logical analytical structure.
References/Topics: Data Setup - > Tableau Semantics - > Logical Views - > Joins - > Cardinality.
NEW QUESTION # 41
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