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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-agentforce-specialist-exam-questions/
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课程名称：Salesforce认证Agentforce专家考试问题 概述： Salesforce Agentforce专家认证旨在为负责管理Agentforce的专业人士提供资格认证。这些人员需深入了解Agentforce的功能及其与Salesforce平台设置的互动。该考试帮助个人展示其在实施Agentforce以有效支持业务运营方面的技能。 受众描述： Salesforce Agentforce专家候选人应具备设置和管理Agentforce的能力，以及对Salesforce关键功能的理解。此考试适合希望展示其在以下领域知识和经验的人员： - 使用Salesforce工具创建平台内的自定义解决方案、操作和集成。 - 确定Prompt Builder的适用场景，管理提示模板并应用基础技术。 - 根据业务需求构建和调整代理，并在Agentforce测试中心进行测试。 - 利用Agentforce数据库提升代理响应准确性，个性化用户互动。 - 理解数据云检索器如何优化代理响应。 - 跟踪代理使用情况并维护用户安全。 - 与利益相关者合作，讨论与Agentforce相关的机遇与挑战。 通过此考试的个人将展现他们应用Agentforce改善流程、提升团队效率的能力，能够开发具有预设技能的自定义代理，将其与现有系统连接，并应用最佳实践以维持准确且有意义的互动。 此认证不要求： - 深入了解配置或微调大型语言模型（LLMs）的知识。 - 熟悉Apex或Python等编程语言。 - 了解外部人工智能（AI）工具的经验。 - 理解变换器架构。 - 进行投资回报率（ROI）计算。 - 知识白空间分析。 - 先前使用市场云、Heroku、商业云、MuleSoft、Tableau、Slack、Quip或行业云的经验。 考试大纲： Salesforce认证Agentforce专家考试评估候选人在以下目标相关的知识和技能： 1. 提示工程（30%）：根据业务需求确定何时使用提示构建器，识别合适的用户角色以管理和执行提示模板，以及创建、激活和执行提示模板的过程。 2. Agentforce概念（30%）：解释代理的工作原理及推理引擎如何支持Agentforce，管理和监控代理适用性，及测试和部署代理等。 3. Agentforce与数据云（20%）：利用Agentforce数据库改进代理响应准确性，及利用数据云检索器进行基础。 4. Agentforce与服务云（10%）：构建回答知识文章问题的代理，连接数字渠道。 5. Agentforce与销售云（10%）：在特定场景中识别Sales Agentforce的正确生成AI特征。 此课程旨在为希望提升其Salesforce技能并获得Agentforce专家认证的个人提供全面的学习资源。
About the Agentforce Specialist CredentialThe Salesforce Agentforce Specialist credential is intended for individuals responsible for overseeing Agentforce within their organizations. These professionals have a strong grasp of Agentforce features and how they interact with Salesforce Platform settings. This exam helps individuals demonstrate their skills in implementing Agentforce to support business operations effectively.Audience Description: Salesforce Agentforce SpecialistCandidates for the Salesforce Certified Agentforce Specialist should be skilled in setting up and managing Agentforce while understanding key Salesforce functionalities. This exam is suited for those who want to showcase their knowledge and experience in areas such as:Using Salesforce tools to create custom solutions, actions, and integrations within the platform.Identifying suitable scenarios for Prompt Builder, managing prompt templates, and applying grounding techniques.Building and adjusting agents based on business requirements and testing them in the Agentforce Testing Center.Utilizing the Agentforce Data Library to improve agent response accuracy and personalize interactions.Understanding how Data Cloud retrievers refine agent responses.Tracking agent usage and maintaining security for users.Collaborating with stakeholders on Agentforce-related discussions, identifying both opportunities and challenges in business workflows.Individuals who pass this exam will show their ability to apply Agentforce to improve processes and enable teams to operate more efficiently. They will be able to develop custom agents with prebuilt skills, connect them with existing systems, and apply best practices to maintain accurate and meaningful interactions.This Certification Does Not Require:In-depth knowledge of configuring or fine-tuning large language models (LLMs).Familiarity with coding languages such as Apex or Python.Experience with external artificial intelligence (AI) tools.Understanding of transformer architecture.Performing return on investment (ROI) calculations.Knowledge of white space analysis.Prior experience with Marketing Cloud, Heroku, Commerce Cloud, MuleSoft, Tableau, Slack, Quip, or Industry Clouds.Exam OutlineThe Salesforce Certified Agentforce Specialist Exam measures a candidate's knowledge and skills related to the following objectives.Prompt Engineering: 30%Given business requirements, identify when it's appropriate to use Prompt Builder.Identify the right user roles to manage and execute prompt templates.Identify the considerations for creating a prompt template.Given a scenario, identify the appropriate grounding technique.Explain the process for creating, activating, and executing prompt templates.Agentforce Concepts: 30%Explain how an agent works and how the reasoning engine powers Agentforce.Leverage standard topics, custom topics, standard agent actions, and custom agent actions.Manage and monitor agent adoption.Manage Agentforce user security.Test an agent using Testing Center.Deploy an agent from sandbox to production.Agentforce and Data Cloud: 20%Improve agent's response accuracy and personalize answers with Agentforce Data Library.Ground with retrievers in Data Cloud.Agentforce and Service Cloud: 10%Build an agent that answers questions based on Knowledge articles.Connect an agent to a digital channel.Given a scenario, identify the correct generative AI feature in Agentforce for Service.Agentforce and Sales Cloud: 10%Given a scenario, identify the correct generative AI feature in Agentforce for Sales.Given a scenario, identify when to use Agentforce Sales Agents (SDR and Sales Coach).
