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[General] Reliable AI-201 Braindumps Questions | AI-201 Learning Mode

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【General】 Reliable AI-201 Braindumps Questions | AI-201 Learning Mode

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Salesforce Certified Agentforce Specialist Sample Questions (Q60-Q65):NEW QUESTION # 60
Universal Containers has PDF maintenance guides in an external folder, not yet in Salesforce.
The team wants a standard, clicks-only setup for the Service Agent to use these documents.
Which approach should the Agentforce Specialist implement?
  • A. Upload the PDFs as File source in the Agentforce Data Library which will build a Search Index, and create a retriever to ground responses from those documents.
  • B. Paste external PDF links into topic instructions and rely on the model to follow them, avoiding configuration of a retrieval source, index, or retriever action.
  • C. Configure Data Cloud to ingest file attachments and create custom index and retriever for product record and attachment data.
Answer: A
Explanation:
According to the AgentForce Data Library and Retrieval Configuration Guide, when organizations have external PDF or text documents that need to be used by an AI agent, the recommended clicks-only approach is to upload the documents as a File Source in the AgentForce Data Library.
The system automatically processes the uploaded files, chunks their content, builds a Search Index, and allows you to create a retriever to ground agent responses from those indexed documents.
This method requires no code or manual integration and ensures that all document content becomes queryable through retrieval-augmented generation (RAG).

NEW QUESTION # 61
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. Hugging Face
  • B. Agent-to-Agent (A2A) protocol
  • C. Model Context Protocol (MCP)
Answer: C
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 # 62
A company wants to retrieve patient history details to augment the Al agent response. [he company wants to leverage the Data Cloud search index feature. What is best practice when considering retrieval-augrmented generation (RAG) for information that may contain personally identifiable information (PII)?
  • A. Depend on the agent's prompt to avoid exposing PII.
  • B. Mask sensitive fields and index only non-PII data.
  • C. Encrypt embeddings, but still index PII records.
Answer: B
Explanation:
According to the AgentForce Data Governance and RAG Security Guidelines, when implementing retrieval-augmented generation (RAG) using Data Cloud search indexes, best practice is to ensure that personally identifiable information (PII) and other sensitive data are never indexed or embedded in the retrieval system.
The documented recommendation is to mask or exclude sensitive fields before creating embeddings or indexing content. This prevents the large language model (LLM) from accessing or generating responses that could inadvertently expose confidential information. Masking can include redacting names, IDs, contact details, or any regulated medical information.

NEW QUESTION # 63
Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions. Which use case functionality of Model Builder aligns with UC's request?
  • A. Product recommendation prediction
  • B. Customer churn prediction
  • C. Contract Renewal Date prediction
Answer: B
Explanation:
Customer churn prediction is the best use case for Model Builder in addressing Universal Containers' concerns about increasing customer contract cancellations. By implementing a model that predicts customer churn, UC can proactively identify customers who are at risk of canceling and take action to retain them before they decide to terminate their contracts. This functionality allows the business to forecast churn probability based on historical data and initiate timely outreach programs.

NEW QUESTION # 64
Which use case is best supported by Salesforce Agent's capabilities?
  • A. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
  • B. Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
  • C. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities
Answer: B
Explanation:
Salesforce Agent is designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as an AI-powered assistant that facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.

NEW QUESTION # 65
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