Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Model Context Protocol (MCP) - Agent-to-agent communication |
| AI Agents | 35% | - Agent architecture and reasoning engine - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack - Agent User security and permissions - Topics and actions configuration |
| Prompt Engineering | 20% | - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt management and user roles |
| Development Lifecycle | 15% | - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization - Deployment: sandbox to production |
| Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Unstructured data processing: chunking, indexing - Improving response accuracy with data grounding |
Salesforce Certified Agentforce Specialist Sample Questions:
Question #1
Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting. Which business requirement would lead An Agentforce to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?
A. UC wants to fine-tune model temperature.
B. UC wants a model fine-tuned using company data.
C. UC wants to change the frequency penalty of the model.
Question #2
Universal Containers (UC) wants to make a marketing newsletter and directly use data from five unrelated objects (two standard and three custom) in a prompt template. How should UC accomplish this?
A. Create a flex template and use the five objects as inputs.
B. Create a prompt template passing in special custom object that connects the records temporarily.
C. Create a prompt template-triggered flow to access the data from five objects.
Question #3
Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should An Agentforce recommend for this request?
A. Einstein Call Summaries
B. Einstein Video KPI
C. Einstein Conversation Insights
Question #4
Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company's Salesforce Knowledge articles. What is the likely issue?
A. The Agentforce Service Agent user was not given the Allow View Knowledge permission set.
B. The Agentforce Service Agent user is not assigned the correct Agent Type License.
C. The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.
Question #5
Universal Containers (UC) stores case details and updates in several custom fields and custom objects related to the case. UC would like its Agentforce Service Agent to be able to provide information in these fields and related records as part of an answer back to its customers when the customer is asking for updates. Which best practice should UC follow to grant access to this information for the Agentforce Service Agent?
A. Update the Object and Field access in the Einstein Agent User Profile so that the Agentforce Service Agents will always get the necessary access.
B. Create a new permission set with the Einstein Agent License and enable Read access to the custom fields and custom objects, and assign it to the Agentforce Service Agent user.
C. Update the Object and Field access in the AgentforceServiceAgentUserPsg permission set group that is already assigned to the Agentforce Service Agent user,
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: A | Question #3 Correct Answer: C | Question #4 Correct Answer: A | Question #5 Correct Answer: C |
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