The Salesforce Analytics-Con-202 practice questions come with three easy-to-use and install formats. The certification for the Salesforce Analytics-Con-202 exam is a valuable, well-recognized professional credential. You can develop your skills and become a recognized specialist with the Salesforce Certified Tableau Next Consultant Analytics-Con-202 Certification in addition to learning about new technology requirements.
| Section | Weight | Objectives |
|---|---|---|
| Evaluate Current State | 22% | - Evaluate current data structures
|
| Plan and Prepare Data Connections | 22% | - Design row-level security (RLS) and advanced connections
|
| Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
| Establish Governance and Support Published Content | 16% | - Apply governance strategy
|
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NEW QUESTION # 23
A new analyst at Coral Cloud Resorts is responsible for the complete setup of Tableau Next. This includes configuring the platform, managing all users, and overseeing all workspaces and assets. Which permission set must a Tableau Next Consultant assign to the analyst?
Answer: C
Explanation:
Tableau Unmetered Admin is the correct permission set because the user needs full Tableau Next administrative capability rather than analytical authoring alone. Salesforce states that Tableau Unmetered Admin permits access to Tableau Next Setup and edit capabilities across Tableau Next features in the production environment. Administrative users can configure the product and provision users with appropriate Tableau Next permission sets.
Salesforce specifically requires Tableau Unmetered Admin or Tableau Next Admin to access Tableau Next Administration and enable Tableau Next. When Tableau Next is enabled, the administrator also receives the associated Data Cloud Architect capabilities required for underlying Data 360 configuration.
The Platform Analyst role is intended primarily for creating, managing, and sharing governed Tableau Next analytical assets. It does not represent the full administrative persona required to configure Tableau Next and manage users. Self-Service Analyst focuses primarily on Personal Org and self-service analytical workflows and is even further removed from the stated administration requirement.
This question follows least-privilege role design: administrative tasks require the Admin persona; content creation alone generally requires an Analyst persona.
References/Topics: Basic Setup and Admin - > Tableau Next Permission Sets - > Tableau Unmetered Admin
- > User Management - > Tableau Next Setup.
NEW QUESTION # 24
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 # 25
Universal Containers wants to ensure its users are able to view, explore, and follow metrics. What is the minimum license level that grants this ability?
Answer: B
Explanation:
The minimum general Tableau Next persona that can view, explore, and follow metrics is the Tableau Unmetered Consumer level represented by B.
Salesforce documents that Consumer users can access the Tableau Next home experience, use Tableau Agent, view workspaces, dashboards, and visualizations, and view, explore, and follow metrics. Salesforce's metric- specific documentation likewise identifies Tableau Unmetered Consumer and equivalent Consumer/Self- Service Consumer permission sets as sufficient to follow metrics.
A Self-Service Analyst can also perform these actions, but that persona includes significantly broader capabilities and therefore is not the minimum required level. Analysts can work with Tableau Next Studio and, depending on the permission set, create or edit analytical content.
An Included App license is narrower. Included App/Limited Consumer personas are designed primarily to interact with prepackaged Tableau Next Apps for Salesforce rather than provide general Tableau Next home and metric exploration capabilities.
The exam principle is to select the least-privileged persona that fully satisfies the requirement, rather than assigning authoring permissions merely because they also include consumption capabilities.
References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Consumer - > Metric Exploration and Following.
NEW QUESTION # 26
A Tableau Next Consultant successfully creates a calculated field using Data Connection and Analytics Creation Subagent involving a Sales data model object (DMO) and Customer DMO. However, when attempting a similar calculation involving a Territory DMO, Data Pro fails. What is the most likely cause?
Answer: A
Explanation:
Data Pro-now increasingly referred to under Semantic Modeling functionality-depends on relationships already defined between the data model objects participating in a generated calculated field. Salesforce explicitly states that a predefined relationship must exist between DMOs for Data Pro to create a calculated field spanning those objects. The agent cannot construct a valid cross-object calculation when the required relationship does not exist.
Therefore, if calculations involving Sales and Customer work but introducing Territory causes the operation to fail, the most likely issue is that Territory is not relationally connected to the relevant objects.
Good metadata and field descriptions improve semantic clarity and AI accuracy, but insufficient descriptions are not the hard technical prerequisite being tested. Likewise, Salesforce does not document a general two- DMO maximum corresponding to option C.
The broader architectural principle is that generative semantic-model functionality does not replace proper data modeling. AI features consume the semantic model's existing object structure, metadata, and relationships. Consultants must establish valid relationships before expecting Tableau Agent to synthesize calculations involving fields from multiple objects.
References/Topics: Data Setup - > Semantic Models - > DMO Relationships - > AI-Generated Calculated Fields - > Data Pro/Semantic Modeling.
NEW QUESTION # 27
Cloud Kicks (CK) has created Tableau Next dashboards and visualizations in a sandbox. These assets rely on new semantic models also developed in the same sandbox. CK's Tableau Next Consultant plans to use a data kit to deploy all assets to the production org. During the data kit creation process, they added the dashboards and visualizations. Which step must the consultant perform to ensure the deployment succeeds?
Answer: B
Explanation:
When Tableau Next assets and their semantic-model dependencies are deployed through a Data Kit, the consultant must explicitly review and correct the publishing sequence. Salesforce documents a minimum dependency sequence of Semantic Models - > Workspaces - > Visualizations - > Dashboards. This ordering is mandatory because visualizations depend on both semantic models and workspaces, while dashboards depend on their visualizations. Salesforce specifically warns that deployment can fail if the publishing sequence isn't reviewed and updated appropriately.
Selecting DevOps is part of creating the deployment Data Kit, but it does not automatically resolve every dependency sequence, making B insufficient. Salesforce notes that the default sequence can be based on asset creation dates and therefore might not match the required dependency order. A is also incorrect because semantic models and Tableau Next assets can be included in a Data Kit deployment to a production home org; deploying the semantic model separately through a change set is not the required approach.
References/Topics: Managing Workspaces and Orgs - > Data Kits - > DevOps Deployment - > Publishing Sequence - > Dependency Management.
NEW QUESTION # 28
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