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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Cloud for Agentforce	20%	- Unstructured data processing: chunking, indexing - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding
Topic 2: Multi-Agent Interoperability	5%	- Agent-to-agent communication - Model Context Protocol (MCP) - Agent API usage scenarios
Topic 3: AI Agents	35%	- Agent User security and permissions - Agent architecture and reasoning engine - Topics and actions configuration - Channel integration: digital experience, email, Slack - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee
Topic 4: Prompt Engineering	20%	- Prompt Builder usage and use cases - Prompt management and user roles - Prompt template creation: field generation, flex types - Grounding techniques and best practices
Topic 5: Development Lifecycle	15%	- Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization

>> Valid AI-201 Exam Objectives <<

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Salesforce Certified Agentforce Specialist Sample Questions (Q298-Q303):

NEW QUESTION # 298
An Agentforce Specialist is building a Flex prompt template. Which best practice should the Agentforce Specialist follow when creating the Flex prompt template?

A. Provide the large language model (LLM) with contextual information and give it a role such as a sales or support rep.
B. Ground the large language model (LLM) with a retriever and create a custom field to store the LLM-generated Response.
C. Ground the large language model (LLM) with account data and create a custom field account summary to store the LLM-generated response.

Answer: A

Explanation:
In the AgentForce Flex Prompt Design Guide, the recommended best practice for Flex prompt templates is to ensure that the large language model (LLM) is provided with clear contextual information and a defined role (e.g., sales rep, support agent, concierge). Flex prompts are intentionally open-ended and adaptable, enabling them to handle dynamic and conversational use cases, provided they are guided with sufficient context and role clarity.
By setting a role and including detailed contextual cues, the LLM can tailor tone, content, and reasoning appropriately while maintaining response accuracy.

NEW QUESTION # 299
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

A. Make Less Formal
B. Optimize for Clarity
C. Enhance Friendliness

Answer: A

Explanation:
When Universal Containers uses the Draft with Einstein feature in Sales Cloud to create a personalized email, the predefined adjustment to Make Less Formal is the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
Enhance Friendliness would make the tone more positive, but not necessarily more casual.
Optimize for Clarity focuses on making the draft clearer but doesn't adjust the tone.

NEW QUESTION # 300
An agent incorrectly updates records when given ambiguous user instructions. What is the BEST mitigation strategy?

A. Increase the number of skills
B. Improve prompt instructions and constraints
C. Disable automation
D. Remove update permissions

Answer: B

Explanation:
Clear prompt instructions, guardrails, and constraints reduce unintended actions caused by ambiguity.

NEW QUESTION # 301
Cloud Kicks (CK) is launching a new partner portal on Experience Cloud, CK wants to provide partners with an agent that can answer questions about product specifications from the knowledge base and allow them to submit a new Lead for a potential customer they've identified.
The agent must be accessible only to authenticated partner users on the portal. Which agent type is required to meet this scenario?

A. Commerce Agent
B. Sales Agent
C. Service Agent

Answer: C

Explanation:
The required agent type is the Service Agent (C). The core function described-answering questions from the knowledge base-is the primary task of a Service Agent, which is designed for self-service support and knowledge article retrieval. Although the requirement also includes the ability to submit a new Lead, Service Agent models are highly configurable to include custom actions, such as a "Create Lead" action, using Agentforce Builder. Furthermore, the Service Agent type is intended to be deployed to external-facing Experience Cloud sites to provide support to external authenticated users, such as partners.

NEW QUESTION # 302
Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system. Which data grounding technique should the Agentforce Specialist recommend?

A. External Services Merge Fields
B. Apex Merge Fields
C. Eternal Object Record Merge Fields

Answer: C

Explanation:
Context of the Requirement:
Universal Containers wants to pull in real-time order status data from an external ERP system into an LLM prompt.
Data Grounding in LLM Prompts:
Data grounding ensures the Large Language Model has access to the most current and relevant information. In Salesforce, one recommended approach is to use External Objects (via Salesforce Connect) when data resides outside of Salesforce.

NEW QUESTION # 303
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