Salesforce Analytics-Con-202 Exam Overview

The Analytics-Con-202 Salesforce Certified Tableau Next Consultant exam validates the skills required to implement, configure, and maintain analytics solutions within the Salesforce ecosystem. It is designed for analytics consultants, business intelligence professionals, Salesforce architects, and data specialists who transform business data into actionable insights using Tableau Next and Data 360.

Candidates should understand semantic data models, data integration, data preparation, analytics configuration, and dashboard development. The exam also covers Agentic Analytics, generative AI, Analytics Agent, cross-cloud integration, data governance, workspace management, and the deployment of analytical assets across Salesforce workflows.

Passcert Analytics-Con-202 Practice Tests help candidates review important Tableau Next concepts, identify knowledge gaps, and reinforce preparation alongside official Salesforce documentation, Trailhead resources, and hands-on analytics implementation experience.

Analytics-Con-202 Exam Information

Analytics-Con-202 Exam Domains and Skills Measured

Data Setup — 20%

This domain covers the design and application of semantic models and the use of Data 360 for data integration, preparation, management, and modeling. Candidates should understand data architecture choices, data model relationships, and how to select appropriate data processing approaches for specific business requirements.

Agentic Experiences — 25%

This is the largest exam domain. It focuses on generative AI capabilities for Tableau Next and the use of Analytics Agent to explore data, generate insights, and deliver proactive alerts and notifications. Candidates should understand agent readiness, the role of trusted semantic models, business context, and how AI-driven analytics supports informed decision-making.

Embedding, Cross-Cloud, and Interoperability — 20%

This domain covers integrating Tableau Next with the Salesforce ecosystem and incorporating analytics into existing user workflows. Candidates should understand Tableau Next apps, Marketplace offerings, developer tools, APIs, and the ways analytical assets can be surfaced across Salesforce platforms.

Basic Setup and Administration — 10%

This domain focuses on activating and administering Tableau Next capabilities. Candidates should understand feature activation, user access, permission management, and the configuration required to enable Agentic Analytics for appropriate users.

Visualizations and Dashboards — 15%

This domain covers designing effective visualizations and dashboards in Tableau Next. Candidates should understand visualization best practices, dashboard configuration, interactive actions, and how to present analytical insights in a clear and usable format.

Managing Workspaces and Organizations — 10%

This domain focuses on organizing, sharing, and deploying Tableau Next assets. Candidates should understand workspaces, asset collections, sharing permissions, Personal Org environments, and the processes used to deploy and maintain analytical content.

What Should You Study for the Salesforce Analytics-Con-202 Exam?

Preparation should cover the complete Tableau Next analytics workflow, from data preparation and semantic modeling to AI-assisted insights, dashboard design, governance, and deployment. Key study areas include Data 360, data streams, Data Model Objects (DMOs), semantic models, metrics, Analytics Agent, agent readiness, Tableau Next dashboards, cross-cloud integration, APIs, workspace administration, and row-level security.

Candidates should understand how trusted data and semantic models support reliable analytics, how generative AI helps users explore business data, and how access controls and governance protect analytical assets. Practical familiarity with Salesforce Setup, Data 360, and Tableau Next is particularly useful.

How to Prepare for the Salesforce Analytics-Con-202 Exam

Master Data 360 and Semantic Modeling

Review data integration, data preparation, Data Model Objects, semantic models, relationships, metrics, and data quality. Practice selecting suitable data architectures for different business requirements.

Understand Agentic Analytics and Analytics Agent

Study how generative AI supports Tableau Next and how Analytics Agent helps users explore data, generate insights, and receive proactive notifications. Understand the importance of agent readiness, trusted business definitions, and governed data.

Practice Dashboards and Cross-Cloud Integration

Review Tableau Next visualizations, dashboard actions, Salesforce analytics integration, embedded analytical experiences, Marketplace offerings, and developer APIs. Understand how analytical insights can be incorporated into business workflows.

Strengthen Administration and Governance

Study feature activation, permissions, workspaces, sharing, row-level security, and the deployment of analytical assets. Understand how to protect data and ensure that users access the appropriate analytics.

Use Analytics-Con-202 Practice Tests to Measure Progress

Use practice questions to assess your understanding, review incorrect answers, and identify weaker domains. Combine practice tests with the official Salesforce exam guide, Trailhead learning resources, product documentation, and hands-on Tableau Next exercises.

Who Should Take the Salesforce Analytics-Con-202 Exam?

The Analytics-Con-202 exam is suitable for analytics consultants, business intelligence professionals, data analysts, Salesforce architects, and implementation specialists who build and maintain analytics solutions in the Salesforce ecosystem.

Candidates should be familiar with Salesforce Setup, Data 360 architecture, data modeling, and dashboard development. Practical experience with Tableau Next, semantic models, permissions, and AI-assisted analytics can help candidates prepare more effectively. Salesforce does not list a mandatory prerequisite certification for this exam.

How Passcert Supports Your Analytics-Con-202 Exam Preparation

Passcert Analytics-Con-202 Practice Tests help candidates review data setup, semantic modeling, Agentic Analytics, cross-cloud integration, visualizations, and workspace management. The materials provide an additional way to assess understanding, identify knowledge gaps, and organize revision around the official exam objectives.

Combined with official Salesforce learning resources, documentation, Trailhead training, and hands-on Tableau Next implementation experience, Passcert practice materials provide additional support throughout your Analytics-Con-202 exam preparation journey.

Frequently Asked Questions About Salesforce Analytics-Con-202

What is the Salesforce Analytics-Con-202 exam?

Analytics-Con-202 is the exam for the Salesforce Certified Tableau Next Consultant certification. It validates the ability to implement and maintain analytics solutions using Tableau Next, Data 360, semantic models, and Agentic Analytics.

What topics are covered in Analytics-Con-202?

The exam covers six domains: Data Setup, Agentic Experiences, Embedding, Cross-Cloud, and Interoperability, Basic Setup and Administration, Visualizations and Dashboards, and Managing Workspaces and Organizations.

What is the role of Data 360 in Tableau Next?

Data 360 provides data integration, preparation, management, and modeling capabilities that support analytics. Candidates should understand how data structures and semantic models help Tableau Next deliver meaningful, consistent, and governed insights.

Does Analytics-Con-202 require a prerequisite certification?

No. Salesforce lists no mandatory prerequisite certification. However, familiarity with Salesforce Setup, Data 360, semantic modeling, and Tableau Next is recommended.

How long is the Analytics-Con-202 exam?

The exam lasts 105 minutes and includes 60 scored questions, with up to five additional unscored questions. The published passing score is 65%.

Are Analytics-Con-202 Practice Tests enough for exam preparation?

Practice tests are most effective when combined with the official exam guide, Trailhead resources, Salesforce documentation, and hands-on Tableau Next exercises. They can help identify knowledge gaps but should not replace practical learning.