Agentforce-Specialist考試題庫 &最新Agentforce-Specialist考證

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Salesforce Agentforce-Specialist 考試大綱：

主題	簡介
主題 1	Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
主題 2	Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
主題 3	AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.
主題 4	Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.
主題 5	Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.

>> Agentforce-Specialist考試題庫 <<

第壹手的Agentforce-Specialist考試題庫 & Salesforce Salesforce Certified Agentforce Specialist (AI-201)

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最新的 AI Specialist Agentforce-Specialist 免費考試真題 (Q118-Q123):

問題 #118
Universal Containers (UC) wants to use Generative AI Salesforce functionality to reduce Service Agent handling time by providing recommended replies based on the existing Knowledge articles. On which AI capability should UC train the service agents?

A. Knowledge Replies
B. Service Replies
C. Case Replies

答案：B

解題說明：
Service Replies(specifically Einstein Service Replies) is the Salesforce Generative AI functionality designed to automatically draft responses for service agents in real-time, based on contextual information, including existing knowledge articles. This directly addresses Universal Containers' need to reduce handling time by providing recommended replies grounded in their knowledge base

問題 #119
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?

A. Enable a sates team to use natural language to invoke defined sales tasks grounded in relevant data and be able to ensure company policies are applied. conversationally and in the now or work.
B. Enable a sales team by providing them with an interactive step-by-step guide based on business rules to ensure accurate data entry into Salesforce and help close deals fatter.
C. Instantly review and read incoming messages or emails that are then logged to the correct opportunity, contact, and account records to provide a full view of customer interactions and communications.

答案：A

解題說明：
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.
* Step-by-step guides (B) are typically handled by tools like Dynamic Forms or Guided Selling, not Agentforce.
* Logging messages/emails (C) is managed by Email-to-Case or Service Cloud, not a sales-specific AI agent.
Reference:
Salesforce Help Article: Agentforce for Sales ("Use Cases and Capabilities" section).
Einstein Agentforce Specialist Trailhead: "Sales Automation with Agentforce" (Natural Language Task Execution).

問題 #120
Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.
What is a key reason for implementing Einstein Copilot?

A. Improving data entry and data cleansing
B. Allowing AI to perform tasks without user interaction
C. Streamlining workflows and automating repetitive tasks

答案：C

解題說明：
The key reason for implementingEinstein Copilotis its ability tostreamline workflowsandautomate repetitive tasks. By leveraging AI, Einstein Copilot can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
* Option A(Improving data entry and cleansing) is not the primary purpose of Einstein Copilot, as its focus is on guiding and assisting users through workflows.
* Option B(Allowing AI to perform tasks without user interaction) does not accurately describe the role of Einstein Copilot, which operates interactively to assist users in real time.
SalesforceAgentforce SpecialistReferences:More details can be found in the Salesforce documentation:
https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_overview.htm

問題 #121
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Agent is enabled?

A. View the user click path that led to each copilot action.
B. Generate details reports on all Copilot conversations over any time period.
C. View session data including user Input and copilot responses for sessions over the past 7 days.

答案：C

解題說明：
When the "Enrich event logs with conversation data" setting is enabled in Agent, it allows An Agentforce or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping Agentforce Specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce Agentforce Specialist References:
You can refer to this documentation for further insights: https://help.salesforce.com/s/articleView?id=sf.
einstein_copilot_event_logging.htm

問題 #122
Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
No data is used for LLM training or product improvements by third- party LLMs.
No data is retained outside of UC's Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?

A. Data Masking
B. Zero-Data Retention Policy
C. Prompt Defense

答案：B

解題說明：
Universal Containers (UC)has concerns about data privacy when usingSalesforce's generative AIfeatures, particularly around preventing third-party LLMs from accessing or retaining their data. TheZero-Data Retention Policyin theEinstein Trust Layeris designed to address these concerns by ensuring that:
* No data is used for trainingor product improvements by third-party LLMs.
* No data is retainedoutside of the customer's Salesforce organization.
* The LLM provider cannot access any customer data.
This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
* Prompt DefenseandData Maskingare also security features, but they do not directly address the concerns related to third-party data access and retention.
:
Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm

問題 #123
......

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