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| Section | Weight | Objectives |
|---|---|---|
| Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing |
| Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios |
| AI Agents | 35% | - Channel integration: digital experience, email, Slack - Agent User security and permissions - Agent architecture and reasoning engine - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Topics and actions configuration |
| Development Lifecycle | 15% | - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization - Deployment: sandbox to production |
| 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 |
>> Valid AI-201 Exam Format <<
With the Salesforce AI-201 practice test, users can reduce stress, and improve their confidence to succeed. The desktop-based Salesforce Certified Agentforce Specialist (AI-201) practice test software is compatible with Windows only. But the web-based AI-201 Practice Test is compatible with all operating systems.
NEW QUESTION # 87
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?
Answer: B
Explanation:
In the Einstein Trust Layer, the toxicity scoring system is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1 indicates that the content is deemed safe.
The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by the Einstein Trust Layer.
For further reference, check Salesforce's official Einstein Trust Layer documentation regarding toxicity scoring for AI-generated content.
NEW QUESTION # 88
Universal Containers recently added a custom flow for processing returns and created a new Agent Action. Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?
Answer: C
Explanation:
UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow.
NEW QUESTION # 89
Universal Containers (UC) wants to ensure its compliance team can retrieve exact matches of policy clause numbers from a structured legal document library. Which search type should UC implement?
Answer: A
Explanation:
According to the AgentForce Search Optimization Guide, when the use case requires retrieving exact matches (such as policy clause numbers, legal identifiers, or invoice IDs) from structured data, the recommended approach is to use keyword search. The documentation specifies:
"Keyword search ensures deterministic retrieval of exact term matches from structured fields, preserving precision for identifiers, numeric values, and code references."
NEW QUESTION # 90
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?
Answer: B
Explanation:
The AgentForce Reasoning Engine Guide explains that the engine relies primarily on the Classification Description and Scope fields to determine which topic best matches the user's intent. The documentation notes: "Classification Description defines the purpose and context of a topic, while Scope provides the operational boundaries for when and how that topic should be triggered. Together, they guide the LLM in selecting the appropriate topic at runtime."
NEW QUESTION # 91
Universal Containers (UC) is looking to improve its sales team's productivity by providing real- time insights and recommendations during customer interactions. Why should UC consider using Agentforce Sales Agent?
Answer: C
Explanation:
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates. It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
NEW QUESTION # 92
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