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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Grounding techniques
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Governance & Observability | 10% | - AI governance
|
| AI Agents | 35% | - Agent setup and orchestration
|
Salesforce Certified Agentforce Specialist Sample Questions:
1. An Agentforce Specialist is building a Flex prompt template. Which best practice should the Agentforce Specialist follow when creating the Flex prompt template?
A) Ground the large language model (LLM) with a retriever and create a custom field to store the LLM-generated Response.
B) Provide the large language model (LLM) with contextual information and give it a role such as a sales or support rep.
C) Ground the large language model (LLM) with account data and create a custom field account summary to store the LLM-generated response.
2. What is a key benefit of the Agent-to-Agent (A2A) protocol?
A) Allows auto-onboard third-party agents without additional contracts, trust scores, or shared identity controls
B) Provides a standardized framework for cross-vendor agent discovery and communication
C) Provides a standardized runtime engine for internal agent discovery and communication
3. Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refining its prompt design strategy, which key practices should UC prioritize?
A) Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
B) Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
C) Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.
4. When is the Agent-to-Agent (A2A4) protocol an appropriate communication choice?
A) When agents need to invoke third-party API
B) When agents need to access tools
C) When agents need to collaborate
5. Universal Containers (UC) has a library of custom-built personalized investment portfolio APIs, and is planning to extend it to agents. Which method should UC's agent choose to dynamically use the best API service?
A) Agent-to-Agent (A2A) protocol support
B) Model Context Protocol (MCP) server support
C) MuleSoft connector for custom hosted processes
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
