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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q150-Q155):

NEW QUESTION # 150
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 a model fine-tuned using company data.
B. UC wants to change the frequency penalty of the model.
C. UC wants to fine-tune model temperature.

Answer: A

Explanation:
Einstein Studio (Model Builder) allows organizations to connect and utilize external foundational models while fine-tuning them with company-specific data. This capability is particularly suited to businesses like Universal Containers (UC) that require customization of foundational models to better align with their unique data and use cases.

NEW QUESTION # 151
Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities.

A. Matched opportunities were created in the last 12 months.
B. Matched opportunities have a status of Closed Won from the last 12 months.
C. Matched opportunities are limited to the same account.

Answer: B

NEW QUESTION # 152
An Agentforce Specialist is creating a custom action in Agentforce. Which option is available for the Agentforce Specialist to choose for the custom Agent action?

A. SOQL
B. Flows
C. Apex Trigger

Answer: B

Explanation:
The Agentforce Specialist is defining a custom action for an Agentforce agent in Agent Builder.
Actions determine what the agent does (e.g., retrieve data, update records).

NEW QUESTION # 153
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. Write a response scrip for the chatbot.
B. Design universal product recommendations.
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 # 154
Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?

A. The data source cannot be changed after it is selected.
B. The data source can be changed through the Data Cloud settings.
C. The Data Retriever can be reconfigured to use a different data source.

Answer: A

Explanation:
Why is "The data source cannot be changed after it is selected" the correct answer?
When configuring an Agentforce Data Library, the data source selection is permanent. Once a data source is set, it cannot be modified or replaced. This design ensures data consistency, security, and reliability within Salesforce's AI-driven environment.
Key Considerations in Agentforce Data Library
Data Source Lock-In
The chosen data source remains fixed to maintain data integrity and avoid inconsistencies.
Any updates or modifications require creating a new Data Library instead of modifying the existing one.
Why Can't the Data Source Be Changed?
The data source defines the foundation of AI-driven workflows, and any modification would disrupt processing logic.
Agentforce tools rely on structured datasets to enable AI-powered recommendations, and changing data sources could lead to inconsistencies in grounding techniques.
Workarounds for Changing Data Sources
If an organization needs to use a different data source, a new Agentforce Data Library must be created and configured from scratch.
Old data can be manually migrated into the new data source for continuity.

NEW QUESTION # 155
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