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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-certified-data-cloud-consultant-exam-prep/
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课程名称：Salesforce认证数据云顾问考试准备 *2025* 课程概览： Salesforce认证数据云顾问证书旨在为有经验的专业人士设计，特别是那些在面向客户的角色中实施和咨询企业数据平台的人士。该认证涵盖设计、配置和构建解决方案的相关任务，帮助组织满足可扩展和可持续的业务需求，以促进长期成功。希望展示数据云技能的人员应考虑获得此认证。 目标听众： Salesforce认证数据云顾问考试的候选人通常具备至少两年的数据战略和数据建模经验，并在多个Salesforce平台上交付解决方案。目标受众包括开发、战略、业务分析、售前或架构等领域的专业人士。候选人应具备对Salesforce技术的深入理解，尤其是在数据云的特性和术语方面，并具备实际部署和定位数据云解决方案的经验。 关于考试： Salesforce认证数据云顾问考试包含60道选择题/多选题，其中最多有5道为不计分题。考试时限为105分钟，及格分数为62%。注册费用为200美元，加税，重考费用为100美元，加税。考试可以在考场或在线进行，具体安排请参考相关信息。考试期间不允许使用任何实体或在线资料。 考试大纲： Salesforce数据云顾问考试测量候选人在以下领域的知识和技能，候选人应对每个领域具备知识和专业能力： 1. 数据云概述 (18%)：描述数据云的功能、关键术语和商业价值；识别数据云的典型使用案例；阐述数据云的工作原理和依赖关系；描述并应用数据伦理的原则。 2. 数据云设置与管理 (12%)：应用数据云权限、权限集和组织全局设置；描述和配置可用的数据流类型和数据包；识别数据空间的使用案例并根据要求创建数据空间；通过报告、仪表板、流程、打包和数据工具管理和维护数据云。 3. 数据摄取与建模 (20%)：识别数据云中不同的转化能力；描述从不同来源向数据云摄取数据的过程和考虑事项；使用最佳实践定义、映射和建模数据；利用可用工具检查和验证摄取和建模的数据。 4. 身份识别 (14%)：描述匹配及其规则集的应用；对数据进行对账并描述其规则集的应用；描述身份识别的结果及其使用案例。 5. 细分与洞察 (18%)：定义细分的基本概念和使用案例；识别分析细分成员身份的场景；在数据云中配置、完善与维护细分；识别并区别计算洞察和流式洞察。 6. 行动数据 (18%)：定义激活及其基本使用案例；使用属性和相关属性；识别和分析影响数据云生命周期的时序依赖关系；排查激活的常见问题，包括接受/拒绝计数、错误展示及未见相关属性；使用数据操作并识别其要求和预期用途。 此课程旨在为准备Salesforce认证数据云顾问考试的专业人士提供必要的知识和技能，帮助他们在职业发展中取得成功。
About the Data Cloud Consultant CredentialThe Salesforce Certified Data Cloud Consultant Credential is designed for professionals with experience in implementing and advising on enterprise data platforms in customer-facing roles. This includes tasks like designing, configuring, and building solutions. This guide will help you prepare for the Data Cloud Consultant Exam.Data Cloud Consultants help organizations meet scalable and sustainable business requirements while contributing to long-term success. Those interested in showcasing their skills with Data Cloud should consider earning this certification.Audience Description: Salesforce Certified Data Cloud ConsultantCandidates for the Salesforce Data Cloud Consultant Exam typically have at least two years of experience in data strategy and data modeling, with experience delivering solutions across multiple Salesforce platforms. The target audience often includes professionals in development, strategy, business analysis, presales, or architecture roles.Salesforce Certified Data Cloud Consultant candidates are expected to have a strong understanding of Salesforce technology, with specific expertise in Data Cloud, including its features and terminology. They should also have hands-on experience in deploying and positioning Data Cloud solutions.About the ExamHere are the details for the Salesforce Certified Data Cloud Consultant Exam:Questions: 60 multiple-choice/multiple-select questions, with up to five unscored questions.Time Limit: 105 minutesPassing Score: 62%Registration Fee: USD 200 plus applicable taxesRetake Fee: USD 100 plus applicable taxesExam Delivery: Proctored exams are available at testing centers or online. See more details on how to schedule an exam.Materials: No physical or online materials are allowed during the exam.Prerequisite: NoneExam OutlineThe Salesforce Data Cloud Consultant exam measures a candidate's knowledge and skills related to the following objectives. Candidates should have knowledge and expertise in each of the areas below.Data Cloud Overview: 18%Describe Data Cloud's function, key terminology, and business value.Identify typical use cases for Data Cloud.Articulate how Data Cloud works and its dependencies.Describe and apply the principles of data ethics.Data Cloud Setup and Administration: 12%Apply Data Cloud permissions, permission sets, and org-wide settings.Describe and configure the available data stream types and data bundles.Identify use cases for data spaces and create data spaces based on requirements.Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.Data Ingestion and Modeling: 20%Identify the different transformation capabilities within Data Cloud.Describe processes and considerations for data ingestion from different sources into Data Cloud.Define, map, and model data using best practices and aligning to requirements for identity resolution.Use available tools to inspect and validate ingested and modeled data.Identity Resolution: 14%Describe matching and how its rule sets are applied.Reconcile data and describe how its rule sets are applied.Describe the results of identify resolution and use cases.Segmentation and Insights: 18%Define basic concepts of segmentation and use cases.Identify scenarios for analyzing segment membership.Configure, refine, and maintain segments within Data Cloud.Identify and differentiate between calculated and streaming insights.Act on Data: 18%Define activations and their basic use cases.Use attributes and related attributes.Identify and analyze timing dependencies affecting the Data Cloud lifecycle.Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.Use data actions and identify their requirements and intended use cases.
