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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-ai-associate-real-exam-prep-questions/
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课程名称：Salesforce认证AI助理模拟考试题 课程概述： Salesforce认证AI助理证书由CertCraft学院提供，专注于人工智能（AI）的基本原则及其在客户关系管理（CRM）系统中的作用。该证书适合所有背景的学习者，无论是AI的新手还是已有一定应用经验的人员。认证确认了应试者对负责任的AI和数据实践的基本理解，并可以作为未来更技术化Salesforce认证的基础。 适合人群： Salesforce认证AI助理课程适合以下人群： - 对Salesforce有基本了解，并希望探索AI如何融入平台的个人 - 对AI在客户关系管理中的应用感兴趣的专业人士或学生 - 希望了解AI如何影响市场营销、销售和服务决策的商业用户 - 希望展示在商业环境中负责任和伦理使用AI知识的任何人 学习内容： 考生需理解以下内容： - 核心AI概念，如预测分析、机器学习、自然语言处理（NLP）和计算机视觉 - Salesforce的可信AI原则，重点关注CRM系统中负责任的AI使用 - 在使用AI工具时，数据质量、准备和治理的重要性 - AI的伦理使用，包括隐私、偏见、合规性，以及如何向利益相关者传达AI机会和风险 认证要求： 参加考试者无须具备以下技能： - 知道如何将AI模型集成到Salesforce工作流 - 使用复杂的数据科学技术或AI算法 - 定制AI功能、模型或使用外部数据源 - 设计或部署大规模AI系统 - 配置或开发Salesforce产品 考试概述： - 格式：40道选择题 - 时间限制：70分钟 - 通过分数：65% - 版本：与Salesforce春季'24版本对齐 - 注册费用：免费 - 重考费用：50美元+适用税费 - 考试方式：在线或现场监考 - 资源：考试期间不允许携带资料 - 先决条件：无 完成考试后，考生将被邀请填写一份关于测试体验的短调查，反馈是自愿的，约需5分钟。 考试大纲： Salesforce认证AI助理考试测量考生在以下目标方面的知识和技能： - AI基础知识：17% - 解释Salesforce中AI的基本原则和应用 - 区分AI的类型及其能力 - CRM中的AI能力：8% - 确定CRM的AI能力 - 描述AI对CRM的好处 - AI的伦理考虑：39% - 描述AI的伦理挑战（例如，机器学习中的人类偏见、透明度缺乏等） - 将Salesforce的可信AI原则应用于给定场景 - AI的数据：36% - 描述数据质量的重要性 - 描述数据质量的元素/组成部分 本课程为希望深入理解AI在Salesforce中的应用及其伦理使用的学习者提供了良好的基础，适合各类用户参与。
About the Salesforce Certified AI Associate CredentialOffered through CertCraft Institute, the Salesforce Certified AI Associate credential focuses on the essential principles of artificial intelligence (AI) and its role in CRM systems. It's intended for learners from all backgrounds-whether you're just starting with AI or already familiar with its applications. The certification confirms a basic understanding of responsible AI and data practices and can serve as a foundation for more technical Salesforce certifications in the future.Who This Certification Is ForThe Salesforce Certified AI Associate course is suited for:Individuals who have a basic understanding of Salesforce and want to explore how AI fits into the platformProfessionals or students interested in how AI can be applied in customer relationship managementBusiness users looking to learn how AI impacts marketing, sales, and service decisionsAnyone looking to demonstrate knowledge of responsible and ethical use of AI in business settingsWhat You'll LearnCandidates will be expected to understand the following:Core AI concepts such as predictive analytics, machine learning, natural language processing (NLP), and computer visionSalesforce's Trusted AI Principles, with a focus on responsible AI use within CRM systemsThe importance of data quality, preparation, and governance when working with AI toolsEthical use of AI, including privacy, bias, compliance, and how to communicate AI opportunities and risks to stakeholdersWhat This Certification Does Not RequireYou are not expected to:Know how to integrate AI models into Salesforce workflowsWork with complex data science techniques or AI algorithmsCustomize AI features, models, or use external data sourcesDesign or deploy large-scale AI systemsConfigure or develop Salesforce productsExam OverviewFormat: 40 multiple-choice questionsTime Limit: 70 minutesPassing Score: 65%Version: Aligned with Salesforce Spring '24 releaseRegistration Fee: FreeRetake Fee: $50 USD + applicable taxesDelivery: Online or in-person, proctored examResources: No materials allowed during the examPrerequisites: NoneAfter completing the exam, candidates will be invited to fill out a short survey about their testing experience. Feedback is optional and takes about 5 minutes.Exam OutlineThe Salesforce Certified AI Associate Exam measures a candidate's knowledge and skills related to the following objectives.AI Fundamentals: 17%Explain the basic principles and applications of AI within Salesforce.Differentiate between the types of AI and their capabilities.AI Capabilities in CRM: 8%Identify CRM AI capabilities.Describe the benefits of AI as they apply to CRM.Ethical Considerations of AI: 39%Describe the ethical challenges of AI (for example, human bias in machine learning, lack of transparency, etc.).Apply Salesforce's Trusted AI Principles to given scenarios.Data for AI: 36%Describe the importance of data quality.Describe the elements/components of data quality.
