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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-new/
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课程名称：Salesforce认证数据云顾问考试准备 *新课程* 课程概述： Salesforce认证数据云顾问凭证适合在企业数据平台实施和咨询方面具有经验的专业人士，尤其是在客户参与的角色中。该课程旨在帮助您为数据云顾问考试做好准备。数据云顾问帮助满足可扩展和可维护的商业需求，支持客户的长期目标。希望展示自己在数据云领域熟练程度的人员应考虑获取此证书。 目标受众： Salesforce认证数据云顾问的候选人通常拥有至少两年的数据战略、数据建模和在多个Salesforce平台上开发解决方案的经验。他们通常具备开发、商业战略、分析、售前或架构方面的背景。成功的候选人对Salesforce技术有扎实的理解，特别是在数据云及其能力和术语方面具有专业知识，并具备实施和定位数据云解决方案的实际经验。 考试介绍： Salesforce认证数据云顾问考试包含60道多项选择/多重选择题，最多可包含5道不计分问题。考试时间限制为105分钟，及格分数为62%。注册费用为200美元，加上适用税费，重考费用为100美元，加上适用税费。考试可在考场或在线进行，具体信息请查看考试安排页面。考试期间不允许使用任何实体或在线材料，且不设前提条件。 考试大纲： Salesforce数据云顾问考试评估候选人在以下各方面的知识和技能： 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，以及阐述数据云的工作原理及其依赖关系。 2. 数据云设置与管理（12%）：应用数据云权限和权限集，描述并配置可用的数据流类型和数据包，创建数据空间并管理数据云。 3. 数据摄取与建模（20%）：识别数据云内的不同转换能力，描述从不同来源向数据云摄取数据的过程和注意事项。 4. 身份解析（14%）：描述匹配及其规则集的应用，调和数据和描述其规则集的应用。 5. 细分与见解（18%）：定义细分的基本概念和用例，标识分析细分成员资格的场景。 6. 行动（18%）：定义激活的基本用例，使用属性并识别影响数据云生命周期的时间依赖性，解决与激活相关的常见问题。 通过此课程，学员将能够全面准备Salesforce认证数据云顾问考试，提升其在数据处理和分析领域的专业能力。
About the Data Cloud Consultant CredentialThe Salesforce Certified Data Cloud Consultant Credential is suited for professionals with experience in implementing and advising on enterprise data platforms, especially in client-facing roles. This includes responsibilities such as designing, configuring, and architecting data-driven solutions. This guide is designed to help you prepare for the Data Cloud Consultant Exam.Data Cloud Consultants help meet scalable and maintainable business needs, supporting a customer's long-term goals. Those who wish to demonstrate their proficiency in Data Cloud should consider pursuing 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, data modeling, and developing solutions across multiple Salesforce platforms. They often have a background in development, business strategy, analysis, presales, or architecture.Successful candidates possess a solid understanding of Salesforce technology, with particular expertise in Data Cloud, including its capabilities and terminology. They have hands-on experience in implementing and positioning Data Cloud solutions.About the ExamHere are the key details for the Salesforce Certified Data Cloud Consultant Exam:Questions: 60 multiple-choice/multiple-select questions, with up to five additional 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 information on scheduling 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.
