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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q170-Q175):

NEW QUESTION # 170
Universal Containers (UC) uses a file upload-based data library and custom prompt to support AI- driven training content. However, users report that the AI frequently returns outdated documents.
Which corrective action should UC implement to improve content relevancy?

A. Configure a custom retriever that includes a filter condition limiting retrieval to documents updated within a defined recent period, ensuring that only current content is used for AI responses.
B. Switch the data library source from file uploads to a Knowledge-based data library, because Salesforce Knowledge bases automatically manage document recency, ensuring current documents are returned.
C. Continue using the default retriever without filters, because periodic re-uploads will eventually phase out outdated documents without further configuration or the need for custom retrievers.

Answer: A

Explanation:
UC's issue is that their file upload-based Data Library (where PDFs or documents are uploaded and indexed into Data Cloud's vector database) is returning outdated training content in AI responses. To improve relevancy by ensuring only current documents are retrieved, the most effective solution is to configure a custom retriever with a filter (Option B). In Agentforce, a custom retriever allows UC to define specific conditions-such as a filter on a "Last Modified Date" or similar timestamp field-to limit retrieval to documents updated within a recent period (e.g., last
6 months). This ensures the AI grounds its responses in the most current content, directly addressing the problem of outdated documents without requiring a complete overhaul of the data source.

NEW QUESTION # 171
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge. Which step should UC take to meet this requirement?

A. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
B. Turn on Service AI Grounding, Grounding with Case, and Service Replies.
C. Turn on Service AI Grounding and Grounding with Knowledge.

Answer: C

Explanation:
To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI-generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge.
Service Replies generates responses automatically.
Service AI Grounding ensures that the AI is using relevant case data.
Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from the LLM or Salesforce Knowledge.

NEW QUESTION # 172
An Agentforce needs to create a Sales Email with a custom prompt template. They need to ground on the following data.
Opportunity Products Events near the customer Tone and voice examples
How should the Agentforce Specialist obtain related items?

A. Utilize a standard email template and manually insert the required data fields.
B. Call prompt initiated flow to fetch and ground the required data.
C. Create a flex template that takes the records in question as inputs.

Answer: B

Explanation:
To ground a sales email on Opportunity Products, Events near the customer, and Tone and voice examples, the Agentforce Specialist should use a prompt-initiated flow. This flow can dynamically fetch the necessary data from related records in Salesforce and ground the generative AI output with contextually accurate information.

NEW QUESTION # 173
Universal Containers wants to assign agents to improve department efficiency. Which configuration ensures the right tasks are handled by the right agents?

A. One Service Agent to efficiently handle each of these scenarios, which reduces the number of agent types needed for support
B. Sales Coach Agent for lead and service Agent for HR requests, and Support tickets to ensure cases are available
C. SDR Agent for lead qualification, Service Agent for support tickets, Employee Agent for HR requests

Answer: C

Explanation:
According to the AgentForce Product Overview and Deployment Guide, Salesforce recommends using purpose-built agents to maximize efficiency across departments. The documentation states:
"Each AgentForce agent type is optimized for a specific function - SDR Agent for sales development and lead nurturing, Service Agent for customer service and support cases, and Employee Agent for internal HR, IT, and productivity tasks." This separation ensures that each team benefits from a domain-specific agent equipped with the correct data access and actions.

NEW QUESTION # 174
Universal Containers needs to bring individual customer warranties from an external system into Data Cloud. They want Agentforce to return warranty-related responses only for accounts whose warranty status is active. Which search approach should the Agentforce Specialist configure to ensure warranty-related information is retrieved correctly?

A. Use Hybrid Search and apply pre-filtering in a new custom retriever for matching accounts and where the WarrantyStatus = Active field,
B. Depend on Agentforce instructions to enforce warranty constraints and include only WarrantyStatus = Active results.
C. Store the account's warranty status in an Agentforce custom variable to dynamically filter warranties during retrieval.

Answer: A

Explanation:
The AgentForce Retrieval Configuration Guide outlines that when external data must be filtered by specific criteria-such as WarrantyStatus = Active-the correct approach is to use Hybrid Search with pre-filtering logic defined in a custom retriever. The documentation specifies: "Hybrid search allows combining keyword precision and semantic context. When used with a custom retriever, administrators can pre-filter data on metadata fields (e.g., WarrantyStatus) to ensure that only eligible records are returned."

NEW QUESTION # 175
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