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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering	30%	- Prompt Builder & Template Creation 1. Best practices - Agentforce AI Setup & Configuration 1. Advanced implementation strategies
Agent Force Concepts	30%	- Data Cloud & Grounding Techniques 1. Real-world applications - Einstein GPT Integration 1. Advanced implementation strategies
Reasoning Engine & AI Actions		- Workflow mastery 1. Standard Agent actions 2. Custom Agent actions (Flows) 3. Custom Agent actions (Apex)
Einstein Trust Layer & Security		- Data Masking 1. Configuration of privacy data entities - Trust Layer & Security Features 1. Enterprise-grade deployment

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Salesforce Certified Agentforce Specialist Sample Questions (Q121-Q126):

NEW QUESTION # 121
Universal Containers has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?

A. General Q&A topic and Knowledge Article Answers action.
B. General FAQ topic and Answers Questions with Knowledge Action.
C. General CRM topic and Answers Questions with LLM Action.

Answer: B

Explanation:
UC's agent answers questions using Knowledge articles, configured in Agent Builder.

NEW QUESTION # 122
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the Agentforce Specialist recommend?

A. Service Replies and Work Summaries
B. Reply Recommendations and Sales Summaries
C. Service Replies and Case Summaries

Answer: C

Explanation:
To improve the productivity of the service center, the Agentforce Specialist should recommend the Service Replies and Case Summaries features.
Service Replies helps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
Case Summaries provide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
Work Summaries are not as relevant for direct customer service operations, and Sales Summaries are focused on sales processes, not service center productivity.

NEW QUESTION # 123
An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account. Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?

A. Use merge fields to reference the default related list of opportunities.
B. Use the merge fields to reference a custom related list of opportunities.
C. Use formula fields to reference the Einstein related list of opportunities.

Answer: A

Explanation:
In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by using merge fields.
Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, the Agentforce Specialist needs to pull data from the default related list of Opportunities associated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.

NEW QUESTION # 124
Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history. Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'

A. Design universal product recommendations.
B. Write a response scrip for the chatbot.
C. Collect and analyze browsing data.

Answer: C

Explanation:
To enable personalized product recommendations using generative AI, the foundational step for Universal Containers (UC) is collecting and analyzing browsing data (Option C). Personalized recommendations depend on understanding user behavior, which requires structured data about their browsing history. Without this data, the AI model lacks the context needed to generate relevant suggestions.
Data Collection: UC must first aggregate browsing data (e.g., pages visited, products viewed, session duration) to build a dataset that reflects user preferences.
Data Analysis: Analyzing this data identifies patterns (e.g., frequently viewed categories) that inform how prompts should be structured to retrieve relevant recommendations.
Grounding in Data: Salesforce's Prompt Templates rely on grounding data to generate accurate outputs. Without analyzing browsing data, the prompt template cannot reference meaningful insights for personalization.

NEW QUESTION # 125
Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system. For the given flow, what should the Agentforce Specialist consider about the running user's data access?

A. The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow.
B. The flow must have the "with sharing" permission selected m the advanced settings for the permissions, field-level security, and sharing settings to be respected.
C. The Agent will always run flows in system mode so the running user's data access will not affect the data returned.

Answer: A

Explanation:
When a flow is invoked via a custom Agent action, its data access depends on the flow's runtime configuration, not system mode by default. Salesforce flows can be configured to respect the running user's permissions and sharing settings:
If the flow is set to "Run as the User Who Launched the Flow" (enabled in Flow Settings), it adheres to the user's permissions, field-level security (FLS), and sharing rules.

NEW QUESTION # 126
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