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[Hardware] Salesforce AI-201 Latest Exam Book - AI-201 Reliable Study Notes

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【Hardware】 Salesforce AI-201 Latest Exam Book - AI-201 Reliable Study Notes

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Salesforce Certified Agentforce Specialist Sample Questions (Q50-Q55):NEW QUESTION # 50
What does it mean when a prompt template version is described as immutable?
  • A. After a prompt template version is activated, no further changes can be saved to that version.
  • B. Only the latest version of a template can be activated.
  • C. Every modification on a template will be saved as a new version automatically.
Answer: A
Explanation:
According to the AgentForce Prompt Template Versioning Guide, when a prompt template version is marked as immutable, it means that no edits or modifications can be made to that version after it has been activated. This ensures that the logic, wording, and grounding parameters tied to that version remain locked and consistent for auditing, reproducibility, and compliance purposes.
If further changes are required, the system automatically creates a new draft version of the template. The old version remains immutable and preserved for traceability.

NEW QUESTION # 51
What is a valid use case for Data Cloud retrievers?
  • A. Returning relevant data from the vector database to augment a prompt.
  • B. Modifying and updating data within the source systems connected to Data Cloud.
  • C. Grounding data from external websites to augment a prompt with RAG.
Answer: A
Explanation:
Salesforce Data Cloud integrates with Agentforce to provide real-time, unified data access for AI- driven applications. Data Cloud retrievers are specialized components that fetch relevant data from Data Cloud's vector database-a storage system optimized for semantic search and retrieval- to enhance agent responses or actions. A valid use case, as described in Option A, is using these retrievers to return pertinent data (e.g., customer purchase history, support tickets) from the vector database to augment a prompt. This process, often part of Retrieval-Augmented Generation (RAG), allows the LLM to generate more accurate, context-aware responses by grounding its output in structured, searchable data stored in Data Cloud.

NEW QUESTION # 52
Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?
  • A. Field Generation prompt template
  • B. Flex Prompt template
  • C. Sales Email prompt template
Answer: A
Explanation:
Universal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
Field Generation Prompt Template
Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.

NEW QUESTION # 53
Universal Containers is planning a marketing email about products that most closely match a customer's expressed interests. What should An Agentforce recommend to generate this email?
  • A. Standard email marketing template using Apex or flows for matching interest in products
  • B. Custom sales email template which is grounded with interest and product information
  • C. Standard email draft with Einstein and choose standard email template
Answer: B
Explanation:
To generate an email about products that closely match a customer's expressed interests, An Agentforce should recommend using a custom sales email template that is grounded with interest and product information. This ensures that the email content is personalized based on the customer's preferences, increasing the relevance of the marketing message.
Using grounding ensures that the generative AI pulls the correct data related to customer interests and product matches, making the email more effective.

NEW QUESTION # 54
Universal Containers is building a digital shopping assistant that needs to dynamically generate product recommendations using information from the company's external product recommendation predictive model through APIs. Which Agentforce capability should make it easier for the agent to consume the external product recommendation tool?
  • A. Model Context Protocol (MCP)
  • B. Agent-to-Agent (A2A) protocol
  • C. Hugging Face
Answer: A
Explanation:
Per the AgentForce Integration and AI Architecture Guide, the Model Context Protocol (MCP) enables agents to interact dynamically with external predictive or AI models. The documentation states:
"Through MCP, agents can discover, connect, and invoke external models via standardized schema definitions. This allows agents to use third-party tools-like recommendation engines or classifiers-without pre-coding fixed API calls."

NEW QUESTION # 55
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