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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases - Prompt management and user roles - Grounding techniques and best practices |
| Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent API usage scenarios - Agent-to-agent communication |
| Development Lifecycle | 15% | - Monitoring, adoption and optimization - Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center |
| AI Agents | 35% | - Agent User security and permissions - Agent architecture and reasoning engine - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee - Topics and actions configuration - Channel integration: digital experience, email, Slack |
| Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Unstructured data processing: chunking, indexing |
Salesforce Certified Agentforce Specialist Sample Questions:
1. Universal Containers (UC) wants its AI agent to return responses quickly. UC needs to optimize the retriever's configuration to ensure minimal latency when grounding AI responses. Which configuration aspect should UC prioritize?
A) Configure the retriever to operate in dynamic mode so that it modifies the search Index structure at runtime.
B) Increase the recency bias setting for the retriever limiting scope to more recent data.
C) Ensure the retriever's filters are defined to limit the scope of each search efficiently.
2. After an agent selects a topic, what is an important factor the reasoning engine uses to select the action?
A) The priority given to each action
B) The explicit order of actions in the topic
C) The name and instructions of the actions
3. Universal Containers built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?
A) The number of tokens that can be processed by the LLM varies with total user demand.
B) The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
C) The number of tokens generated by the dynamic nature of the prompt template will vary by record.
4. When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. Which information does the Resolution text provide?
A) It shows the full text that is sent to the Trust Layer.
B) It shows which sensitive data is masked before it is sent to the LLM.
C) It shows the response from the LLM based on the sample record.
5. Universal Containers (UC) has configured a data library and wants to restrict indexing of knowledge articles to articles which are only publicly available in their knowledge base, UC also wants the agent to link sources that the large language model (LLM) grounded its response on.
Which settings should help UC with this?
A) Use Data Categories to categorize publicly available articles to index. Sources are automatically displayed when knowledge articles are categorized as Public.
B) In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article. It is not possible to display articles that the LLM grounded its response in.
C) In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article and select Show sources,
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |




