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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-data-cloud-consultant-exam-questions/
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课程摘要：Salesforce认证数据云顾问考试问题 欢迎参加由ITCertify Zone提供的Salesforce认证数据云顾问课程！本课程旨在帮助专业人士获得成功实施和建议Salesforce数据云解决方案所需的知识与技能。无论您是架构师、顾问还是管理员，本课程都提供了设计、配置和优化数据驱动解决方案所需的基础。完成本课程后，您将更好地支持可扩展和可维护的数据战略，以符合长期商业目标。此外，本课程也是准备Salesforce认证数据云顾问考试的重要资源。 **谁适合参加本课程？** Salesforce认证数据云顾问资格证书最适合具有企业数据平台、数据架构和商业战略经验的专业人士。候选人通常具有至少两年的数据建模、数据战略和在多个Salesforce平台上实施解决方案的经验。成功的候选人将对Salesforce技术有扎实的理解，并具备实施和定位数据云解决方案的实际经验。本课程特别适合以下人群： - 从事客户数据工作的Salesforce顾问和管理员。 - 专注于企业数据管理的数据架构师和战略家。 - 改善数据细分和洞察的业务分析师及CRM专业人士。 - 管理数据治理、集成和合规的IT专业人士。 - 准备Salesforce认证数据云顾问考试的个人。 **考试信息** Salesforce认证数据云顾问考试评估候选人在设计和实施数据云解决方案方面的知识、技能和能力。以下是考试的关键细节： - 题目数量：60道多项选择题/多选题（另外最多包含五道未计分问题）。 - 时间限制：105分钟。 - 通过分数：62%。 - 报名费用：200美元（加适用税费）。 - 重考费用：100美元（加适用税费）。 - 考试形式：在线监控或在测试中心亲自参加。 - 允许材料：考试期间不允许任何实体或在线材料。 - 先决条件：无。 **您将学习到的内容** 1. 数据云概述（18%） - 解释数据云的目的、关键术语和商业价值。 - 识别数据云实施的常见用例。 - 理解数据云的工作原理及其依赖性。 - 应用数据伦理和合规原则。 2. 数据云设置与管理（12%） - 配置权限、权限集和组织范围设置。 - 根据不同业务需求设置数据流类型和数据包。 - 使用数据空间高效管理不同数据集。 - 通过报告、仪表板和流程监控数据云性能。 - 使用数据探索器和API探索和诊断数据问题。 3. 数据摄取与建模（20%） - 确定数据云中的不同转换能力。 - 理解来自不同来源的数据摄取过程。 - 为身份解析定义、映射和建模数据。 - 使用可用工具检查和验证摄取的数据。 4. 身份解析（14%） - 理解匹配规则集及其对数据对接的影响。 - 解释身份解析如何改善数据准确性和细分。 - 分析身份解析过程的结果。 5. 细分与洞察（18%） - 定义细分概念及其用例。 - 使用数据云工具分析和跟踪细分成员资格。 - 配置和管理计算和流媒体洞察。 - 维护和细化细分以实现准确的客户画像。 6. 数据应用（18%） - 定义激活及其在客户参与策略中的作用。 - 使用属性及相关属性细化细分。 - 理解影响数据云处理的时间依赖。 - 排除常见激活问题，如拒绝计数或缺少属性。 - 实施数据行动并与特定业务需求对齐。 **为什么选择本课程？** 本ITCertify Zone课程提供一个结构化的方法来学习Salesforce数据云，涵盖实际应用、数据治理策略和以认证为重点的练习测试。通过注册本课程，您将： - 获得有关数据云能力和最佳实践的实践知识。 - 有效准备Salesforce认证数据云顾问考试。 - 提高管理大规模客户数据解决方案的能力。 - 学习优化客户细分、身份解析和数据激活的技能。
Salesforce Certified Data Cloud Consultant Course by ITCertify ZoneWelcome to the Salesforce Certified Data Cloud Consultant Course by ITCertify Zone! This course is designed to help professionals gain the knowledge and skills needed to successfully implement and advise on Salesforce Data Cloud solutions. Whether you're an architect, consultant, or administrator, this course provides the necessary foundation to design, configure, and optimize data-driven solutions.By completing this course, you'll be better prepared to support scalable and maintainable data strategies that align with long-term business goals. This course also serves as an essential resource for those preparing for the Salesforce Certified Data Cloud Consultant Exam.Who Should Take This Course?The Salesforce Certified Data Cloud Consultant credential is best suited for professionals with experience in enterprise data platforms, data architecture, and business strategy. Candidates typically have at least two years of experience in data modeling, data strategy, and implementing solutions across multiple Salesforce platforms.Successful candidates will have a solid understanding of Salesforce technology and hands-on experience in implementing and positioning Data Cloud solutions. This course is ideal for:Salesforce consultants and administrators working with customer data.Data architects and strategists focused on enterprise data management.Business analysts and CRM professionals improving data segmentation and insights.IT professionals managing data governance, integration, and compliance.Individuals preparing for the Salesforce Certified Data Cloud Consultant exam.About the ExamThe Salesforce Certified Data Cloud Consultant Exam evaluates candidates on their knowledge, skills, and ability to design and implement Data Cloud solutions. Below are the key details:Number of Questions: 60 multiple-choice/multiple-select (plus up to five unscored questions).Time Limit: 105 minutes.Passing Score: 62%.Registration Fee: $200 USD (plus applicable taxes).Retake Fee: $100 USD (plus applicable taxes).Exam Delivery: Online proctored or in-person at a testing center.Materials Allowed: No physical or online materials during the exam.Prerequisites: None.What You Will Learn1. Data Cloud Overview (18%)Explain Data Cloud's purpose, key terminology, and business value.Identify common use cases for Data Cloud implementation.Understand how Data Cloud works, including its dependencies.Apply the principles of data ethics and compliance.2. Data Cloud Setup and Administration (12%)Configure permissions, permission sets, and org-wide settings.Set up data stream types and data bundles for different business needs.Use data spaces to manage different datasets efficiently.Monitor Data Cloud performance using reports, dashboards, and flows.Explore and diagnose data issues using Data Explorer and APIs.3. Data Ingestion and Modeling (20%)Identify different transformation capabilities in Data Cloud.Understand data ingestion processes from various sources.Define, map, and model data for identity resolution.Use available tools to inspect and validate ingested data.4. Identity Resolution (14%)Understand matching rule sets and their impact on data reconciliation.Explain how identity resolution improves data accuracy and segmentation.Analyze the results of identity resolution processes.5. Segmentation and Insights (18%)Define segmentation concepts and their use cases.Analyze and track segment membership using Data Cloud tools.Configure and manage calculated and streaming insights.Maintain and refine segments for accurate customer profiling.6. Acting on Data (18%)Define activations and their role in customer engagement strategies.Use attributes and related attributes to refine segmentation.Understand timing dependencies that affect Data Cloud processing.Troubleshoot common activation issues, such as rejected counts or missing attributes.Implement data actions and align them with specific business needs.Why Take This Course?This ITCertify Zone course provides a structured approach to Salesforce Data Cloud, covering real-world applications, data governance strategies, and certification-focused practice tests. By enrolling in this course, you will: Gain hands-on knowledge of Data Cloud capabilities and best practices. Prepare effectively for the Salesforce Certified Data Cloud Consultant exam. Improve your ability to manage large-scale customer data solutions. Learn to optimize customer segmentation, identity resolution, and data activation.
