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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-simulators/
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课程名称：Salesforce认证数据云顾问考试题目 课程概述： Salesforce认证数据云顾问认证旨在验证实施和管理支持可扩展长期数据策略的数据云解决方案所需的技能。此认证面向直接与客户合作的专业人士，他们使用Salesforce数据云架构和交付数据驱动解决方案。课程助力学员满足客户在数据统一、细分、分析及实时激活等方面的需求。 适合人群： 本课程面向以下人员： - 有实施数据平台、策略或企业数据模型经验 - 与客户合作设计和配置可扩展解决方案使用Salesforce数据云 - 在数据相关角色（如架构、分析、咨询或售前）支持组织工作 - 希望验证自身数据云能力和架构知识的人 典型职位包括：Salesforce顾问、解决方案架构师、数据策略师、业务分析师、技术售前专业人士。候选人应具备至少两年的Salesforce数据策略工作经验，并构建或支持过多个Salesforce云解决方案。 课程涵盖的关键技能： - 理解及应用数据云架构和术语 - 设计数据摄取和身份解析流程 - 配置计算洞察、数据建模和细分 - 在营销、服务和销售用例中激活数据 - 在保持可扩展性和治理的同时，与客户目标对齐解决方案 考试信息： Salesforce认证数据云顾问考试包含60道选择题/多选题（可能包括最多5道未计分题），考试时间为105分钟，及格分数为62%。考试版本基于2025年冬季发布。注册费用为200美元（加适用税费），重考费用为100美元（加适用税费）。考试形式为在线或现场监考。无先决条件，但某些问题可能不计分并用于研究目的。 考试大纲： 考试评估候选人在以下方面的知识和技能： 1. 数据云概述（18%） - 描述数据云的功能、关键术语和商业价值 - 识别数据云的典型用例 - 阐述数据云的工作原理及其依赖关系 - 描述及应用数据伦理原则 2. 数据云设置与管理（12%） - 应用数据云权限、权限集和组织范围设置 - 描述和配置可用的数据流类型和数据包 - 识别数据空间的用例，基于需求创建数据空间 - 使用报告、仪表板、流程、打包和数据包管理和管理数据云 3. 数据摄取与建模（20%） - 识别数据云中的不同转换能力 - 描述从不同来源向数据云摄取数据的过程和考虑因素 - 定义、映射和建模数据，同时遵循身份解析的最佳实践和要求 - 使用可用工具检查和验证摄取和建模的数据 4. 身份解析（14%） - 描述匹配及其规则集的应用 - 对数据进行整理并描述规则集的应用 - 描述身份解析的结果及用例 5. 细分与洞察（18%） - 定义细分的基本概念和用例 - 识别分析细分成员资格的场景 - 配置、细化和维护数据云中的细分 - 识别和区分计算和流式洞察 6. 数据激活（18%） - 定义激活及其基本用例 - 使用属性及相关属性 - 识别和分析影响数据云生命周期的时间依赖关系 - 排查激活中的常见问题，包括接受/拒绝计数、错误和未见相关属性 - 使用数据行动并识别其要求和预期用例
Salesforce Certified Data Cloud ConsultantCertification OverviewThe Salesforce Certified Data Cloud Consultant credential validates the skills needed to implement and manage Data Cloud solutions that support scalable, long-term data strategies. This certification is intended for professionals who work directly with customers to architect and deliver data-driven solutions using Salesforce Data Cloud.This course prepares students to meet customer requirements related to data unification, segmentation, analytics, and real-time activation across Salesforce environments.Who This Course Is ForThis course is intended for individuals who:Have experience implementing data platforms, strategies, or enterprise data modelsWork with customers to design and configure scalable solutions using Salesforce Data CloudSupport organizations in data-related roles such as architecture, analysis, consulting, or pre-salesWant to validate their knowledge of Data Cloud capabilities and architectureTypical job roles include:Salesforce ConsultantSolution ArchitectData StrategistBusiness AnalystTechnical Pre-Sales ProfessionalCandidates are expected to have at least two years of experience working with Salesforce data strategy and have built or supported multiple solutions across Salesforce clouds.Key Skills CoveredCandidates for this certification should be able to:Understand and apply Data Cloud architecture and terminologyDesign data ingestion and identity resolution processesConfigure calculated insights, data modeling, and segmentationActivate data across marketing, service, and sales use casesAlign solutions with customer goals while maintaining scalability and governanceAbout the ExamSalesforce Certified Data Cloud Consultant ExamNumber of questions: 60 multiple-choice/multiple-select + up to 5 unscoredTime limit: 105 minutesPassing score: 62%Version: Based on Winter '25 releaseRegistration fee: $200 USD (plus applicable taxes)Retake fee: $100 USD (plus applicable taxes)Delivery: Online or onsite via proctored examReferences allowed: None (closed book)Prerequisite: None requiredNote: Some questions may be unscored and used for research purposes. These will not affect your exam result.Exam 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.
