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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Einstein Trust Layer & Security		- Trust Layer & Security Features 1. Enterprise-grade deployment - Data Masking 1. Configuration of privacy data entities
Agent Force Concepts	30%	- Einstein GPT Integration 1. Advanced implementation strategies - Data Cloud & Grounding Techniques 1. Real-world applications
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. Custom Agent actions (Apex) 2. Standard Agent actions 3. Custom Agent actions (Flows)

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Salesforce Certified Agentforce Specialist Sample Questions (Q245-Q250):

NEW QUESTION # 245
What is the primary advantage of creating an individual retriever instead of the default retriever?

A. Individual retrievers can aggregate multiple data spaces and data model objects (DMOs) into a unified retriever output.
B. Individual retrievers automatically generate new search indexes and dynamically update vectors.
C. Individual retrievers allow the configuration of filters, specified fields, and how many results are returned.

Answer: C

Explanation:
The AgentForce Data Cloud and Retrieval Configuration Guide explains that individual retrievers offer customization flexibility beyond the default retriever. The guide states: "Individual retrievers allow specialists to define filters, select specific fields for retrieval, and configure result limits, providing fine-grained control over data recall and relevance."

NEW QUESTION # 246
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

A. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
B. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
C. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.

Answer: A

Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.

NEW QUESTION # 247
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

A. Clone the existing template and modify as needed.
B. Save as New Version and edit as needed.
C. Save as New Template and edit as needed.

Answer: A

Explanation:
Universal Containers (UC) has a standard email prompt template (likely a prebuilt template provided by Salesforce) that isn't meeting their needs, and they want to customize it while retaining its original content as a starting point. Let's assess the options based on Agentforce prompt template management practices.

NEW QUESTION # 248
Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
What is a consideration for this requirement?

A. Storing this data requires Salesforce big objects.
B. Storing this data requires a custom object for data to be configured.
C. Storing this data requires Data Cloud to be provisioned.

Answer: C

Explanation:
When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data.
The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI- powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.
Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.
Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real- time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.

NEW QUESTION # 249
What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

A. Prompt generation will yield no response when there is no related list associated with an Account in runtime.
B. If person accounts have been enabled, merge fields will not be available for the Account object.
C. The Activities related list on the Account object is not supported because it is a polymorphic field.

Answer: C

Explanation:
When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field.
Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.

NEW QUESTION # 250
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