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| Section | Weight | Objectives |
|---|---|---|
| Plan and Prepare Data Connections | 22% | - Plan for data transformation
|
| Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
| Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Establish Governance and Support Published Content | 16% | - Deploy and manage content lifecycle
|
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NEW QUESTION # 32
How should a Tableau Next Consultant handle unjoined data objects to ensure an agent can confidently interpret the semantic data model and avoid generating invalid responses?
Answer: C
Explanation:
The semantic model should form a single coherent connected cluster whenever the objects are intended to participate in the same analytical domain. Therefore, the consultant should establish valid relationships for the disconnected objects or remove them from the model when they do not belong.
Salesforce's current AI-readiness guidance explicitly warns about island tables and isolated objects.
Disconnected objects can confuse both users and Tableau Agent because a query can imply relationships that the model has not defined. Salesforce recommends ensuring that all relevant objects are part of a single connected cluster and avoiding ambiguous or unjoined objects that could cause invalid agent responses.
Leaving objects isolated, as proposed by A, therefore preserves the exact modeling condition that decreases agent confidence. Option B is also architecturally incorrect. Business Preferences provide business terminology and interpretation guidance; they are not a substitute for structural relationships between data objects.
This principle is especially important for Tableau Agent because its semantic query generation relies on the relationship graph to determine valid navigation paths between dimensions and measures. A connected, unambiguous model substantially reduces unsupported joins and misleading answers.
References/Topics: Data Setup - > Semantic Model AI Readiness - > Connected Model Structure - > Relationships - > Remove Ambiguous Objects.
NEW QUESTION # 33
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: C
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 # 34
A Tableau Next Consultant wants to use size encoding to highlight the volume of sales for products on a scatter plot. However, once the consultant builds the chart, they realize that the marks are overlapping and high- volume selling products are obscuring lower volume products. What should the consultant do to improve the visibility of the chart while highlighting differential sales volumes?
Answer: B
Explanation:
Tableau Next provides explicit controls for size encoding, including minimum and maximum mark-size limits. With relative size encoding, Minimum (% of cell) defines the smallest percentage of available cell space that a mark can occupy, while Maximum (% of cell) controls the largest. Adjusting these settings allows the author to retain sales-volume encoding while limiting oversized marks that obscure smaller ones.
Therefore, B directly addresses the visualization problem.
A dual axis changes the structural representation of the data rather than correcting excessive mark sizing and is unnecessary for this requirement. Increasing the physical dashboard container size might provide additional display space, but it does not directly control the relative size range of the marks and cannot reliably prevent high-value marks from dominating lower-value marks.
Tableau Next supports both Relative and Absolute size modes. Relative sizing is particularly useful when the visual objective is to emphasize differences across a continuous measure while maintaining visual readability.
The consultant should tune the minimum and maximum percentage parameters until the volume relationship remains perceptible without excessive overlap.
References/Topics: Visualizations and Dashboards - > Marks - > Size Encoding - > Relative Size - > Minimum and Maximum Percent of Cell.
NEW QUESTION # 35
A Tableau Next Consultant is asked to configure proactive alerts for executives. Which delivery channels are supported?
Answer: C
Explanation:
Tableau Next proactive alerts support delivery through Slack and Email, making option A the correct choice.
The purpose of proactive alerting is to notify users when an important metric condition is met without requiring them to continually open dashboards and check the metric manually. Supporting collaboration and messaging channels allows the alert to reach executives in the tools they already monitor.
SMS-only delivery is not the supported model described here, and Microsoft Teams is not the exclusive proactive-alert channel. The alerting workflow is tied to Tableau Next metrics and the configured notification integrations. Once the metric, alert condition, and delivery configuration are in place, users can receive timely notification when the monitored value crosses the defined condition.
From an implementation perspective, consultants should confirm that the required alerting capability is enabled, that users can access the metric, and that the organization's Slack and email notification configuration is available. The analytical rule remains defined against the governed metric, while the selected channel determines how the resulting notification reaches the user.
References/Topics: Agentic Experiences - > Proactive Data Alerts - > Slack and Email Delivery.
NEW QUESTION # 36
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 # 37
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