Salesforce Certified Agentforce Specialist Practice Test
Salesforce Certified Agentforce Specialist Practice Test is a Salesforce certification practice test with a free preview and paid full access. Every question is curated by our 24x-certified Salesforce Technical Architect. No signup required to preview, full access with an account.
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What this exam covers
The Salesforce Certified Agentforce Specialist course prepares candidates to configure and manage AI agents and prompt templates on the Salesforce Platform. You'll build a comprehensive understanding of Salesforce Platform configuration, aligning AI agents to complex business use cases, and delivering personalized, context-aware interactions using Agentforce tools—including Agent Builder, Prompt Builder, and Agentforce Testing Center.
The exam outline covers six domains:
- Prompt Engineering – Prompt Builder use cases, access controls, prompt template types, grounding techniques, and Trust Layer security/privacy features
- Data 360 Fundamentals – Agentforce Data Library concepts, chunking, indexing, and retrievers
- AI Agents – agent architecture and Agent Script, hybrid reasoning, deterministic behavior, standard/custom topics and actions, channel connections (digital experience, email, voice, Slack), security context, Employee vs. Service agents, and Agent API
- Testing, Deployment, & Maintenance – Testing Center evaluations and sandbox-to-production deployment considerations
- Governance & Observability – agent monitoring, analytics, and optimization
- Multi-Agent Orchestration – Single-Agent (SOMA) architecture and open standard protocols like MCP and A2A
Candidates typically bring about 1 year of experience with Salesforce platform configuration and standard objects, including Data 360, along with hands-on practice building agents in Agent Builder, creating prompt templates in Prompt Builder, and using Testing Center and Sandbox-to-Production deployment patterns. This course is not intended to teach LLM fine-tuning, coding languages like Apex or Python, external AI tooling, transformer architecture, or ROI/white space analysis.