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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Trust Layer & Security- Data Masking
  • 1. Configuration of privacy data entities
- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
Reasoning Engine & AI Actions- Workflow mastery
  • 1. Standard Agent actions
  • 2. Custom Agent actions (Flows)
  • 3. Custom Agent actions (Apex)
Prompt Engineering30%- Prompt Builder & Template Creation
  • 1. Best practices
- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
Agent Force Concepts30%- 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 (Q246-Q251):

NEW QUESTION # 246
After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?

Answer: A

Explanation:
The Temperature hyperparameter controls the randomness of model outputs:
Low Temperature (e.g., 0.2): More deterministic, consistent responses.
High Temperature (e.g., 1.0): More creative, varied responses.


NEW QUESTION # 247
Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AlI-enabled field icon next to the summary field.
What is the most likely cause of the issue?

Answer: B

Explanation:
In Salesforce, Generative AI capabilities are controlled by specific permission sets. To use features such as generating summaries with AI, users need to have the correct permission sets that allow access to these functionalities.
Generative AI User Permission Set: This is a key permission set required to enable the generative AI capabilities for a user. In this case, the missing Generative AI User permission set prevents the user from seeing the generative AI-enabled field icon. Without this permission, the generative AI feature in the Competitor Analysis custom object won't be accessible.


NEW QUESTION # 248
Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base. Which AI capability should UC use?

Answer: C

Explanation:
For Universal Containers (UC) to offer personalized service experiences and reduce agent handling time using AI-generated responses grounded in the Knowledge base, the best solution is Einstein Service Replies for Email. This capability leverages AI to automatically generate responses to service- related emails based on historical data and the Knowledge base, ensuring accuracy and relevance while saving time for service agents.


NEW QUESTION # 249
Universal Containers (UC) wants to ensure its compliance team can retrieve exact matches of policy clause numbers from a structured legal document library. Which search type should UC implement?

Answer: C

Explanation:
According to the AgentForce Search Optimization Guide, when the use case requires retrieving exact matches (such as policy clause numbers, legal identifiers, or invoice IDs) from structured data, the recommended approach is to use keyword search. The documentation specifies:
"Keyword search ensures deterministic retrieval of exact term matches from structured fields, preserving precision for identifiers, numeric values, and code references."


NEW QUESTION # 250
What is the role of the large language model (LLM) in executing an Agent Action?

Answer: C

Explanation:
In Agent, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.
By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.


NEW QUESTION # 251
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