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| Section | Weight | Objectives |
|---|---|---|
| Design and Troubleshoot Calculations and Workbooks | 40% | - Optimize workbook performance
|
| Establish Governance and Support Published Content | 16% | - Apply governance strategy
|
| Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Plan and Prepare Data Connections | 22% | - Design row-level security (RLS) and advanced connections
|
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NEW QUESTION # 51
A Tableau Next Consultant has enabled Acceleration for a connected data source, which is configured to refresh data as frequently as every 15 minutes. However, records that have been deleted from the source system are still appearing in Tableau Next 30 minutes later. What is the most likely reason for this behavior?
Answer: C
Explanation:
When Acceleration for Data Connections is enabled, Tableau Next temporarily caches external-source data in Data 360 to reduce runtime latency and improve query performance. Two refresh approaches are available:
Full Refresh and Incremental Refresh. Salesforce explicitly states that an incremental refresh processes records that have been added or changed since the previous refresh but does not update deleted data.
Therefore, records removed from the source can remain present in the accelerated cache even after several incremental refresh cycles.
This explains why the 15-minute frequency does not solve the issue. Frequency controls how often incremental processing occurs; it does not change what the incremental algorithm processes. Option A incorrectly attributes the behavior to ordinary cache latency. Option C is also too broad because acceleration itself supports deletion synchronization when a Full Refresh is used. A full refresh removes the existing cached dataset and replaces it with the current source dataset.
References/Topics: Data Setup - > Data Connections - > Acceleration - > Full versus Incremental Refresh -
> Cache Refresh Method.
NEW QUESTION # 52
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 # 53
A Tableau Next Consultant at Ursa Major Solar is creating a Tableau Next dashboard to monitor at- risk opportunities. The sales manager needs a way for sales reps to initiate follow- up tasks for specific opportunities directly from a dashboard widget. This action must trigger an existing Salesforce flow designed for task creation. Which action type should the consultant add to the widget to meet this requirement?
Answer: A
Explanation:
The consultant should configure a Salesforce Flow action on the dashboard widget. Tableau Next supports single-click dashboard actions that can directly initiate Salesforce Flows using dashboard context. Salesforce even documents a virtually identical use case: enabling sales representatives to create a follow-up task directly from a dashboard widget displaying at-risk opportunities.
When configuring the action, the consultant selects Salesforce Flow as the action type, chooses an eligible flow, and maps the flow's input variables to static or dynamic dashboard values. Tableau Next currently supports standard screen flows and autolaunched flows for this capability.
A parameter action is fundamentally an analytical interaction mechanism and is not the native mechanism for executing a Salesforce Flow. Option C refers generally to Salesforce actions on visualization records, but the scenario explicitly identifies a dashboard widget that must initiate an existing Salesforce Flow. The dedicated Flow action is therefore the precise implementation.
This capability illustrates Tableau Next's actionable-analytics design: the user moves directly from recognizing an analytical condition to initiating an operational Salesforce process without leaving the dashboard.
References/Topics: Visualizations and Dashboards - > Single-Click Actions - > Salesforce Flow Actions - > Dynamic Input Mapping.
NEW QUESTION # 54
A Tableau Next Consultant needs to explicitly define an inner join between two data objects to create a new, single abstract table for their semantic model. Which feature should the consultant use?
Answer: C
Explanation:
A Logical View is the correct feature when the consultant needs to combine multiple data objects through an explicitly defined join and expose the resulting structure as a single reusable semantic object. Salesforce defines a logical view as a data object that combines multiple underlying objects using joins or unions rather than standard semantic relationships. The resulting logical view can then participate in relationships, calculated fields, metrics, and other semantic definitions as though it were an ordinary data object.
This distinction is fundamental. A standard relationship keeps the participating objects logically separate and describes how Tableau Semantics should traverse between them during query generation. It does not materialize their joined structure into one abstract semantic object. A Calculated Insight is used for more advanced Data 360 calculations and aggregations and does not represent the semantic-model join construct required here.
When configuring a Logical View, the consultant defines the participating objects, join criteria, join type- including an inner join when required-and appropriate cardinality. Correct join and cardinality configuration prevents duplicate or missing analytical results.
References/Topics: Data Setup - > Tableau Semantics - > Logical Views - > Joins - > Cardinality.
NEW QUESTION # 55
Universal Containers (UC) is developing a new profitability dashboard within its Tableau Next Personal Org.
To ensure the dashboard is accurate, UC needs to incorporate the primary Sales data model object (DMO) which is governed and maintained in the production environment. The company's Tableau Next Consultant needs to bring this specific asset into its Personal Org workspace. Which action must the consultant take to use the production Sales DMO in UC's Personal Org?
Answer: A
Explanation:
Tableau Next Personal Org supports reusing governed production assets without requiring the analyst to recreate or independently govern those assets. The documented procedure is to open or create the Personal Org workspace, select Add - > Data, choose Production from the Org dropdown, identify the production workspace and asset type, and then add the required asset to the workspace.
Therefore, A precisely matches the official workflow.
The reused production asset remains governed by production controls. Salesforce notes that assets reused from production are effectively read-only references; if the source asset is removed or the user loses access, the corresponding reused asset in the Personal Org stops functioning.
Cloning the DMO is unnecessary and would contradict the intended reuse model. A Data Kit is a deployment mechanism used to move supported assets between managed environments; it is not the Personal Org workflow for referencing an individual production DMO.
This design supports self-service analytics while maintaining centralized governance: analysts can combine authoritative enterprise data with their own analytical work without creating unmanaged duplicate definitions.
References/Topics: Managing Workspaces and Orgs - > Personal Org - > Reuse Production Org Assets - > Add Data.
NEW QUESTION # 56
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