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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Development Lifecycle | 15% | - Version control and maintenance - Testing agents in Testing Center - Deployment: sandbox to production - Monitoring, adoption and optimization |
| Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP) |
| AI Agents | 35% | - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack - Agent User security and permissions - Topics and actions configuration - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee |
| Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid |
| Prompt Engineering | 20% | - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Prompt management and user roles - Grounding techniques and best practices |
Salesforce Certified Agentforce Specialist Sample Questions:
1. Universal Containers (UC) implements a custom retriever to improve the accuracy of AI- generated responses. UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?
A) Increase the maximum number of results returned to capture a broader dataset.
B) Change the search index to a different data model object (DMO).
C) Define filters to narrow the search results based on specific conditions.
2. Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base. Which AI capability should UC use?
A) Einstein Email Replies
B) Einstein Service Replies for Email
C) Einstein Generative Service Replies for Email
3. Universal Containers has set up a Service Agent to allow customers to look up their order status.
The topic setup includes:
Name: Order Inquiry
Classification Description: Handles user requests to look up order status, including tracking details and delivery estimates for orders placed within the last 90 days.
Scope: Your job is only to assist authenticated users in looking up the status of their orders placed within the last 90 days. If the order is pending delivery, provide the tracking number and estimated delivery date. Do not handle inquiries for orders older than 90 days.
Which information will be used by the Agentforce reasoning engine to choose this topic?
A) Topic Name and Scope
B) Topic Name and Classification Description
C) Classification Description and Scope
4. Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?
A) Prompt Defense
B) Secure Data Retrieval and Grounding
C) Data Masking
5. Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles.
When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly. What should UC do to troubleshoot the issue?
A) Create a new permission set that assigns "Manage Knowledge" and assign it to the Agentforce Service Agent User.
B) Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.
C) Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |




