Updated for Winter '26 Release
Last Updated: November 2025 | Exam Version: Winter '26
This exam guide reflects the latest Salesforce Winter '26 release (November 2025). Key updates include Agentforce platform capabilities, advanced LLM integration, Einstein AI orchestration, and intelligent automation agents for enterprise workflows.
⚡ What Changed from Spring '25 to Winter '26?
🤖 Agentforce Platform
Build, deploy, and manage AI agents at scale for customer interactions
📚 LLM Orchestration
Advanced LLM model selection and routing for optimal AI responses
🔄 Multi-Agent Workflows
Orchestrate multiple AI agents to handle complex business processes
🏆 Salesforce Certified AI Specialist
Your complete guide to passing the exam and becoming a certified AI Specialist
📊 Exam At a Glance
| DURATION | 105 minutes |
| QUESTIONS | 60 questions |
| PASSING SCORE | 67% |
| EXAM FEE | $200 USD |
| RETAKE FEE | $100 USD |
📋 Exam Objectives & Weightage
1. AI Fundamentals & Ethics 18%
Understand AI/ML concepts, responsible AI practices, and ethical considerations.
🆕 Winter '26 Update: Agentforce ethical guidelines and safe AI deployment patterns.
2. Agentforce Platform & Architecture 22%
Master Agentforce platform components, agent design, and system architecture.
🆕 Winter '26 Update: New Agentforce platform capabilities and agent orchestration engine.
3. LLM Integration & Model Management 20%
Integrate large language models, manage model selection, and optimize performance.
🆕 Winter '26 Update: LLM orchestration and multi-model routing strategies.
4. Einstein AI Implementation 19%
Implement Einstein AI features across Salesforce applications and processes.
🆕 Winter '26 Update: Enhanced Einstein capabilities with Agentforce integration.
5. Agent Development & Customization 12%
Develop custom agents, configure behaviors, and implement advanced automation.
🆕 Winter '26 Update: Advanced agent configuration and multi-agent workflow design.
6. AI Analytics & Optimization 9%
Monitor AI performance, analyze effectiveness, and optimize agent behavior.
❓ Sample Exam Questions
Question 1: What is the primary purpose of Agentforce in Salesforce Winter '26?
A) Replace all human employees with AI
B) Create autonomous AI agents that handle interactions while maintaining human oversight
C) Provide only data analysis capabilities
D) Enable email automation only
Correct Answer: B) - Agentforce is designed to create AI agents autonomously while maintaining human oversight and control.
Question 2: Using Winter '26 features, which approach is best for managing multiple LLMs?
A) Use only one LLM model across all scenarios
B) Implement LLM orchestration to route requests to optimal models
C) Let users manually select LLM for each interaction
D) Do not use LLMs
Correct Answer: B) - LLM orchestration intelligently routes requests to the most appropriate language model.
Question 3: What is an ethical consideration when deploying AI agents?
A) Maximize profits above all else
B) Always disclose AI involvement and maintain human oversight capabilities
C) Avoid monitoring agent decisions
D) Never update agent models
Correct Answer: B) - Ethical AI deployment requires transparency and maintaining human oversight.
Question 4: How should you handle an AI agent with poor decision-making?
A) Immediately remove all human oversight
B) Analyze metrics, retrain with better data, adjust configuration, and test
C) Ignore the problem
D) Blame the customer
Correct Answer: B) - Systematic analysis, retraining, and testing are required for AI optimization.
Question 5: Which is a key capability of Einstein AI?
A) Replacing all business logic
B) Providing AI-powered insights across processes while maintaining user control
C) Making decisions without human review
D) Only generating reports
Correct Answer: B) - Einstein AI provides intelligent capabilities while maintaining user control.
📚 Study Resources & Exam Tips
Official Study Materials
- Salesforce AI Specialist Trail - Trailhead modules on AI concepts
- Agentforce Developer Guide - Comprehensive platform guide
- Winter '26 AI Features Release Notes - Latest updates
Recommended Study Plan (4-6 weeks)
- Week 1-2: AI Fundamentals and Ethics modules
- Week 3: Agentforce platform architecture
- Week 4: LLM integration and Einstein AI
- Week 5: Agent development and Winter '26 features
- Week 6: Practice exams and advanced scenarios
Exam Tips
- AI augments human decision-making, not replaces it
- Study Winter '26 features: Agentforce, LLM orchestration, multi-agent workflows
- Learn ethical AI principles and responsible practices
- Practice designing agents for real-world scenarios
- Review AI performance monitoring and optimization